About AgentProvenance
AgentProvenance is an MCP server in the Data category: security-oriented three-axis observability for sandboxed AI agents: model intent, app context, and runtime telemetry into verifiable evidence graphs for risk, forensics, and audit.
Install
git clone https://github.com/ByteYellow/AgentProvenanceThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (7)
bind_scopeRegister a ToolCallScope binding (app-asserted, forced `binding_source=ai_asserted`) so independent system telemetry can correlate to this tool call
Parameters not published.
evaluate_actionRun a proposed command, file action, or network action through the trusted policy engine without executing it (inline gate, no side effects)
Parameters not published.
get_signalsReturn the unified behavior/cost/quality/security signal set for a run
Parameters not published.
get_timelineReturn the merged application-context and runtime-telemetry timeline
Parameters not published.
list_eventsReturn paged runtime telemetry events, optionally filtered by type
Parameters not published.
list_risksReturn security risk signals and recommended actions
Parameters not published.
verify_runVerify object hashes, parent links, and policy/risk/response/signal integrity for a run
Parameters not published.
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