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AuditPilot: auditable enterprise AI agents for evidence-grounded workflows, governed tools, evaluation harnesses, human review, and remediation delivery.

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dockermcp-servermulti-agentagent-runtimeai-agentagentic-ragfastapimcpauditevaluation-harnessraghuman-in-the-loopknowledge-graphllmopspythonPythonagent-evaluation

AuditPilot is an MCP server for building auditable enterprise AI agents. Its description points to evidence-grounded workflows, governed tools, evaluation harnesses, human review steps, and remediation delivery.

Reach for it when your agent deployments need an audit trail and human oversight built into the runtime rather than bolted on.

Use it to

  • Run evidence-grounded RAG agent workflows with audit trails
  • Gate tool calls behind governance and human review
  • Evaluate agent behavior with built-in evaluation harnesses
  • Deliver remediation outputs for reviewed agent actions
  • Serve governed agent tools over MCP to external clients

For Teams deploying enterprise AI agents that require auditability

Role
mcp-server
Language
Python
Forks
112
Open issues
3
Last push
2026-08-12
topicsmcp-serverauditagentic-raghuman-in-the-loopevaluation-harnessllmops