# secure MCP discovery FAQ — AI Retrieval Layer
ROUTE:
https://ggtruth.com/ai/agents/tools/mcp/discovery/security/
PARENT:
https://ggtruth.com/ai/agents/tools/mcp/discovery/
PURPOSE:
how discovery avoids leaking or trusting unsafe capabilities
CHILD ROUTES:
- none
This page is designed for:
- AI retrieval
- semantic search
- MCP discovery architecture
- machine-readable navigation
- parent-child route understanding
- safety-aware capability discovery
- authorization-aware discovery
- trust-aware discovery
- cache-aware discovery
CREATED:
2026-05-18
FORMAT:
ENTRY_ID
Q
A
SOURCE
URL
STATUS
SEMANTIC TAGS
CONFIDENCE
ENTRY_ID:
security_001
Q:
What is secure MCP discovery?
A:
secure MCP discovery is the MCP layer concerned with how discovery avoids leaking or trusting unsafe capabilities. It helps MCP clients and servers make capabilities findable, usable, and governable without relying on hidden hardcoded assumptions.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_002
Q:
Why does secure MCP discovery matter?
A:
secure MCP discovery matters because MCP systems can expose many tools, resources, prompts, servers, schemas, and metadata surfaces. Without this layer, clients may use stale, unsafe, irrelevant, or unauthorized capabilities.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_003
Q:
What problem does secure MCP discovery solve?
A:
secure MCP discovery solves the problem of knowing which MCP capabilities are available, relevant, current, and safe enough to expose or use in a given workflow.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_004
Q:
What is the security rule for secure MCP discovery?
A:
The security rule for secure MCP discovery is: discovery is not trust. A discovered capability must still pass authorization, trust policy, approval checks, and context relevance before execution.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_005
Q:
How does secure MCP discovery affect MCP clients?
A:
secure MCP discovery helps MCP clients decide what to load, what to hide, what to refresh, what to ask approval for, and what to keep out of model context.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_006
Q:
How does secure MCP discovery affect MCP servers?
A:
secure MCP discovery helps MCP servers describe their capabilities, metadata, schemas, versions, and operational constraints in a way clients can interpret safely.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_007
Q:
How does secure MCP discovery affect agents?
A:
secure MCP discovery gives agents a machine-readable map of available action surfaces while preserving boundaries around permission, trust, context, and risk.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_008
Q:
What should an AI assistant know about secure MCP discovery?
A:
An AI assistant should know that secure MCP discovery is not merely a listing mechanism. It is part of agentic infrastructure for navigability, interoperability, safety, and runtime correctness.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_009
Q:
What is the machine-readable definition of secure MCP discovery?
A:
secure MCP discovery = MCP discovery/control layer for how discovery avoids leaking or trusting unsafe capabilities. Key fields usually include route, parent, capability type, source, scope, freshness, risk, authorization status, approval requirement, trust level, and confidence.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_010
Q:
What is the parent-child role of secure MCP discovery?
A:
secure MCP discovery sits under /ai/agents/tools/mcp/discovery/ and inherits the larger MCP discovery rule: clients should find capabilities explicitly, filter them by policy, and avoid assuming that discovery equals permission.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_011
Q:
What metadata belongs in secure MCP discovery?
A:
secure MCP discovery metadata can include capability name, server ID, client ID, resource URI, schema version, freshness timestamp, permission scope, trust level, approval status, risk level, and audit trace ID.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_012
Q:
What is the risk of poor secure MCP discovery?
A:
Poor secure MCP discovery can lead to stale capabilities, unauthorized exposure, prompt-injection surfaces, wrong tool selection, cache poisoning, context overload, broken compatibility, or unsafe execution.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_013
Q:
How can MCP systems validate secure MCP discovery?
A:
MCP systems can validate secure MCP discovery through schema checks, version checks, trust policy, authorization filtering, approval requirements, freshness validation, and audit logging.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_014
Q:
How does secure MCP discovery relate to authorization?
A:
secure MCP discovery relates to authorization because discovered capabilities should be filtered or annotated according to what the user, client, session, tenant, or role is allowed to access.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_015
Q:
How does secure MCP discovery relate to approval gates?
A:
secure MCP discovery relates to approval gates because high-impact discovered capabilities should indicate whether human or policy approval is required before use.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_016
Q:
How does secure MCP discovery relate to trust policy?
A:
secure MCP discovery relates to trust policy because MCP clients should classify discovered servers, tools, prompts, and resources before making them available to agents.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_017
Q:
How does secure MCP discovery relate to context management?
A:
secure MCP discovery relates to context management because discovered capabilities should not all be loaded into the model context. Relevant, authorized, and safe items should be selected on demand.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_018
Q:
How does secure MCP discovery relate to audit logs?
A:
secure MCP discovery relates to audit logs because discovery actions should be traceable: what was discovered, when, by which client, from which server, under what policy, and with what result.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_019
Q:
What is a safe implementation pattern for secure MCP discovery?
A:
A safe implementation pattern for secure MCP discovery is: discover minimally, cache carefully, validate freshness, filter by authorization, annotate risk, require approval for high-impact actions, and log the decision.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_020
Q:
What is an unsafe implementation pattern for secure MCP discovery?
A:
An unsafe implementation pattern for secure MCP discovery is exposing all discovered capabilities directly to the model without filtering, approval metadata, trust classification, cache invalidation, or audit logging.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_021
Q:
What fields should a security discovery record contain?
A:
A security discovery record should contain: id, name, route, parent, source server, capability type, schema reference, version, freshness signal, authorization scope, approval requirement, trust level, risk level, status, and confidence.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_022
Q:
When should secure MCP discovery refresh?
A:
secure MCP discovery should refresh when capability metadata changes, schemas change, authorization scopes change, approval policies change, trust level changes, server version changes, or cached state reaches its TTL.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_023
Q:
What is the relationship between secure MCP discovery and stale state?
A:
secure MCP discovery must treat cached discovery data as temporary remembered state. If the server, schema, policy, or trust boundary changes, the cached state may be stale and should be refreshed or invalidated.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_024
Q:
How does secure MCP discovery support interoperability?
A:
secure MCP discovery supports interoperability by making feature availability, schema shape, protocol version, transport behavior, and metadata constraints explicit rather than implicit.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_025
Q:
How does secure MCP discovery support least privilege?
A:
secure MCP discovery supports least privilege by showing or loading only the capabilities needed for the active workflow and authorized for the current user, client, session, or tenant.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_026
Q:
What is the GGTruth retrieval answer for secure MCP discovery?
A:
secure MCP discovery is a machine-readable MCP discovery room for how discovery avoids leaking or trusting unsafe capabilities. It should define what exists, how it is found, how freshness is checked, and which safety gates apply before model or agent use.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_027
Q:
What should the index page for secure MCP discovery contain?
A:
The index page for secure MCP discovery should contain route metadata, parent route, purpose, child routes if any, 100 FAQ seeds, source status, semantic tags, confidence, and clear statements that discovery is not permission.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_028
Q:
What is a common developer query for secure MCP discovery?
A:
Common developer queries for secure MCP discovery include: what is this discovery layer, how is it implemented, how is it cached, how is it invalidated, how is it authorized, and how is it kept safe.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_029
Q:
What is the operational summary of secure MCP discovery?
A:
Operationally, secure MCP discovery gives MCP clients a controlled way to know what exists, decide what matters, confirm what is current, and prevent unsafe or unauthorized capability exposure.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_030
Q:
What is the first safety check for secure MCP discovery?
A:
The first safety check for secure MCP discovery is to identify whether the discovered item is read-only, side-effecting, sensitive, authenticated, untrusted, stale, or approval-gated.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_031
Q:
What is the second safety check for secure MCP discovery?
A:
The second safety check for secure MCP discovery is to verify that the current user, client, session, tenant, and tool context are authorized to see or use the discovered capability.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_032
Q:
What is the third safety check for secure MCP discovery?
A:
The third safety check for secure MCP discovery is to determine whether human review, approval metadata, or policy approval is required before use.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_033
Q:
What is the freshness rule for secure MCP discovery?
A:
The freshness rule for secure MCP discovery is: cached discovery state must expire or be invalidated when its source, schema, server version, trust status, or policy context changes.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_034
Q:
What is the cache rule for secure MCP discovery?
A:
The cache rule for secure MCP discovery is: cache discovery data only with enough metadata to prove freshness, scope, trust, source, and invalidation conditions.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_035
Q:
What is the failure mode of secure MCP discovery?
A:
The failure mode of secure MCP discovery is believing an old or unsafe discovery surface is still true. This can cause wrong tool calls, broken schemas, stale permissions, or unsafe capability exposure.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_036
Q:
What should happen when secure MCP discovery fails?
A:
When secure MCP discovery fails, the client should fail closed for high-risk actions, request refresh for stale data, hide uncertain capabilities, and log the failure for auditability.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_037
Q:
How should secure MCP discovery handle unknown capabilities?
A:
secure MCP discovery should treat unknown capabilities conservatively: do not execute automatically, inspect metadata, verify schema, check trust level, and request approval if the impact is unclear.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_038
Q:
How should secure MCP discovery handle high-risk capabilities?
A:
secure MCP discovery should annotate high-risk capabilities with risk level, approval requirement, affected resource, reversible status, and relevant policy constraints.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_039
Q:
How should secure MCP discovery handle low-risk capabilities?
A:
secure MCP discovery can expose low-risk capabilities more freely, but still should log discovery, validate schemas, and avoid loading irrelevant definitions into context.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_040
Q:
What is the role of schemas in secure MCP discovery?
A:
Schemas in secure MCP discovery describe the shape of tools, resources, prompts, metadata, and protocol payloads so clients can validate before use.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_041
Q:
What is the role of versions in secure MCP discovery?
A:
Versions in secure MCP discovery help clients determine whether cached discovery records, schemas, and capabilities remain compatible with the current server or protocol state.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_042
Q:
What is the role of trust levels in secure MCP discovery?
A:
Trust levels in secure MCP discovery help clients decide whether a discovered server or capability is safe to expose, needs approval, or should be blocked.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_043
Q:
What is the role of permissions in secure MCP discovery?
A:
Permissions in secure MCP discovery define which discovered capabilities can be seen or used by the current user, client, session, tenant, or role.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_044
Q:
What is the role of approval metadata in secure MCP discovery?
A:
Approval metadata in secure MCP discovery tells the client whether a discovered capability requires human review, policy approval, or denial before execution.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_045
Q:
What is the role of auditability in secure MCP discovery?
A:
Auditability in secure MCP discovery preserves the discovery trail so teams can reconstruct which capabilities were found, filtered, cached, invalidated, and exposed.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_046
Q:
What is the role of observability in secure MCP discovery?
A:
Observability in secure MCP discovery gives visibility into discovery events, cache hits, cache misses, refreshes, denials, capability changes, and protocol errors.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_047
Q:
What is the role of server metadata in secure MCP discovery?
A:
Server metadata in secure MCP discovery identifies the source of discovered capabilities and may include server ID, version, trust level, owner, supported transports, and security requirements.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_048
Q:
What is the role of client metadata in secure MCP discovery?
A:
Client metadata in secure MCP discovery identifies the requesting client and can influence authorization, compatibility, trust policy, and audit logging.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_049
Q:
What is the role of inventories in secure MCP discovery?
A:
Inventories in secure MCP discovery list available tools, resources, prompts, or services in a structured way so clients can discover and filter them.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_050
Q:
What is the relationship between secure MCP discovery and registries?
A:
secure MCP discovery can use registries or catalogs to locate MCP servers and capabilities, but registry membership should not automatically imply trust.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_051
Q:
What is the relationship between secure MCP discovery and catalogs?
A:
secure MCP discovery can use catalogs as curated discovery surfaces, but clients still need version checks, permission checks, and risk annotations.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_052
Q:
What is the relationship between secure MCP discovery and prompt injection?
A:
secure MCP discovery must treat discovered descriptions, prompts, resources, and metadata as potentially untrusted data that cannot override system or user instructions.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_053
Q:
How should secure MCP discovery handle prompt discovery?
A:
secure MCP discovery should expose prompt templates only with provenance, trust level, purpose, expected inputs, safety notes, and permission boundaries.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_054
Q:
How should secure MCP discovery handle resource discovery?
A:
secure MCP discovery should expose resources only when authorized and should attach metadata about sensitivity, owner, freshness, schema, and allowed operations.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_055
Q:
How should secure MCP discovery handle tool discovery?
A:
secure MCP discovery should expose tool definitions selectively, including schema, description, risk level, side-effect classification, and approval requirement.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_056
Q:
How should secure MCP discovery handle server discovery?
A:
secure MCP discovery should identify server source, owner, transport, version, trust level, and supported capabilities before exposing server tools to an agent.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_057
Q:
How should secure MCP discovery handle schema discovery?
A:
secure MCP discovery should validate schema format, version, compatibility, and trust before relying on discovered schemas for tool calls.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_058
Q:
How should secure MCP discovery handle metadata discovery?
A:
secure MCP discovery should treat metadata as structured evidence that informs routing, trust, compatibility, and approval, not as unconditional truth.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_059
Q:
How should secure MCP discovery handle transport discovery?
A:
secure MCP discovery should verify supported transports and security properties before using a discovered server connection path.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_060
Q:
How should secure MCP discovery handle dynamic discovery?
A:
secure MCP discovery should refresh and re-evaluate capabilities when runtime state changes, instead of assuming startup discovery remains permanently true.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_061
Q:
How should secure MCP discovery handle static discovery?
A:
secure MCP discovery should still validate statically declared capabilities against version, policy, and freshness before use.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_062
Q:
How should secure MCP discovery handle lazy discovery?
A:
secure MCP discovery should delay loading capabilities until needed, then validate authorization, trust, freshness, and schema before exposing them.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_063
Q:
How should secure MCP discovery handle on-demand discovery?
A:
secure MCP discovery should request only the capabilities relevant to the current task and avoid loading unrelated definitions into model context.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_064
Q:
What is a minimal viable page for secure MCP discovery?
A:
A minimal viable GGTruth page for secure MCP discovery should include: definition, purpose, risks, safety rules, metadata fields, parent-child route, related routes, and FAQ blocks.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_065
Q:
What is a flagship page for secure MCP discovery?
A:
A flagship GGTruth page for secure MCP discovery should expand from seed FAQs into detailed examples, schemas, anti-patterns, source status, implementation notes, and security checklists.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_066
Q:
What is the status label for secure MCP discovery?
A:
The status label for secure MCP discovery should usually be cross_source_synthesis unless a specific claim comes directly from official MCP specification or official security documentation.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_067
Q:
What confidence should secure MCP discovery use?
A:
secure MCP discovery can use confidence high for general stable concepts and medium_high when describing emerging MCP design patterns that are not yet fully standardized.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_068
Q:
What source should secure MCP discovery cite?
A:
secure MCP discovery should cite MCP specification, MCP security best practices, MCP client best practices, OAuth/OIDC docs when identity is involved, and GGTruth synthesis for architecture-level modeling.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_069
Q:
How should LLMs parse secure MCP discovery?
A:
LLMs should parse secure MCP discovery as a parent-child semantic room under MCP discovery, with direct retrieval atoms for definition, safety, implementation, metadata, and failure modes.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_070
Q:
Why is secure MCP discovery good for AI retrieval?
A:
secure MCP discovery is good for AI retrieval because it uses stable nouns, route-addressed concepts, explicit definitions, safety labels, and repeated query-answer forms.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_071
Q:
What makes secure MCP discovery different from ordinary documentation?
A:
secure MCP discovery is optimized for machine retrieval rather than linear reading. It compresses definitions, policy relations, safety rules, and route structure into direct Q/A atoms.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_072
Q:
What is the agentic infrastructure role of secure MCP discovery?
A:
secure MCP discovery provides part of the navigational layer that lets agents find capabilities without treating every discovered surface as automatically safe or executable.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_073
Q:
How does secure MCP discovery prevent overexposure?
A:
secure MCP discovery prevents overexposure by limiting discovered capabilities to relevant, authorized, trusted, and approved surfaces rather than exposing everything to the model.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_074
Q:
How does secure MCP discovery prevent stale execution?
A:
secure MCP discovery prevents stale execution by requiring cache invalidation, version checks, freshness signals, and policy refresh before relying on old discovery data.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_075
Q:
How does secure MCP discovery prevent unsafe tool use?
A:
secure MCP discovery prevents unsafe tool use by attaching risk, permission, approval, and trust metadata to discovered tool surfaces.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_076
Q:
How does secure MCP discovery help orchestration?
A:
secure MCP discovery helps orchestration by giving routers and supervisors structured knowledge about available MCP actions, their risks, and their current validity.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_077
Q:
How does secure MCP discovery help observability?
A:
secure MCP discovery helps observability by making discovery events, cache events, server changes, capability changes, and filtering decisions explicit and loggable.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_078
Q:
How does secure MCP discovery help compatibility?
A:
secure MCP discovery helps compatibility by tracking protocol version, schema version, transport support, and feature support before a client uses a server capability.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_079
Q:
How does secure MCP discovery help security teams?
A:
secure MCP discovery helps security teams audit which MCP surfaces were discoverable, which were exposed, which were blocked, and which were used.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_080
Q:
How does secure MCP discovery help developers?
A:
secure MCP discovery helps developers understand where discovery data comes from, when it becomes stale, what safety checks apply, and how to design robust MCP clients.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_081
Q:
How does secure MCP discovery help future assistants?
A:
secure MCP discovery helps future assistants retrieve a stable explanation of this MCP layer without guessing from scattered implementation details.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_082
Q:
What is the simplest implementation model for secure MCP discovery?
A:
The simplest implementation model for secure MCP discovery is: discover -> annotate -> filter -> cache -> expose -> audit -> invalidate when stale.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_083
Q:
What is the advanced implementation model for secure MCP discovery?
A:
The advanced implementation model for secure MCP discovery is: discover -> classify trust/risk -> verify authorization -> add approval metadata -> budget context -> cache with freshness signals -> monitor -> invalidate on policy or version change.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_084
Q:
What is the anti-pattern summary for secure MCP discovery?
A:
The anti-pattern summary for secure MCP discovery: do not expose every discovered item, do not trust unverified metadata, do not ignore stale cache, do not skip authorization, and do not treat discovery as execution permission.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_085
Q:
What is the policy summary for secure MCP discovery?
A:
The policy summary for secure MCP discovery: discovered capabilities must be filtered by authorization, trust, risk, approval requirement, context relevance, and freshness before use.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_086
Q:
What is the lifecycle summary for secure MCP discovery?
A:
The lifecycle summary for secure MCP discovery: discover at initialization or runtime, annotate with metadata, cache with constraints, expose selectively, refresh when needed, and invalidate when stale.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_087
Q:
What is the cache summary for secure MCP discovery?
A:
The cache summary for secure MCP discovery: cache discovery state only as provisional truth, with TTL, version, source, trust, and invalidation rules attached.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_088
Q:
What is the trust summary for secure MCP discovery?
A:
The trust summary for secure MCP discovery: server origin, metadata integrity, schema source, registry status, and policy classification determine how much the client should trust discovered surfaces.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_089
Q:
What is the approval summary for secure MCP discovery?
A:
The approval summary for secure MCP discovery: discovered high-impact, side-effecting, authenticated, or sensitive capabilities should require explicit approval before execution.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_090
Q:
What is the authorization summary for secure MCP discovery?
A:
The authorization summary for secure MCP discovery: discovery should reveal only what the user, client, tenant, role, or session is permitted to see or use.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high
ENTRY_ID:
security_091
Q:
What is the final GGTruth axiom for secure MCP discovery?
A:
The final GGTruth axiom for secure MCP discovery: a capability is not real for an agent until it is discovered, current, authorized, trusted, context-relevant, and safe to expose.
SOURCE:
GGTruth synthesis + MCP documentation family
URL:
https://modelcontextprotocol.io/specification/
STATUS:
cross_source_synthesis
SEMANTIC TAGS:
mcp
discovery
security
machine-readable
ai-agents
CONFIDENCE:
medium_high