A
licenseA
qualityA
maintenanceAuditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.
39
120
Apache 2.0
AI Agents Pitstop
Server Details
Human approvals, autonomy limits and a chained audit log for the AI agents of service firms.
Ownership verified
The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 0.0% over 19 days
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP
- URL
Publisher details
- Operator
- AI Jungle LLC
- Operator website
- https://ai-agents-pitstop.com
- Vendor relationship
- First-party
- Documentation
- Unknown
- Trust center
- Unknown
- Restrictions
- Unknown
Related MCP Connectors
Decision-assurance for AI agents: an auditable action boundary + receipt before it acts.
Runtime AI governance: decision gates, human approval, hash-chained audit, compliance mapping.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
The decision layer for AI agents: act, escalate or refuse, and every decision comes back signed.
Related MCP Servers
raposa-mcpofficial
AlicenseAqualityBmaintenanceHuman approval for AI agents: request_human_approval pauses a high-stakes action until a named person approves or rejects (console, email, Telegram, Slack); silence is not consent. Every decision is sealed in a hash-chained audit log. EU-hosted.3MIT- AlicenseNot gradedqualityCmaintenanceA human-in-the-loop governance interlock for AI agents. Agents propose changes, a human countersigns the exact plan, and then it executes stage by stage with precondition checks, verification, and auditing.Apache 2.0
- AlicenseNot gradedqualityBmaintenanceA public-safe research prototype for controlling AI-agent tool actions with deterministic policy, risk-based human approval, time-bound authorization and a tamper-evident audit chain.1MIT
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd
Glama MCP Gateway
Add one secure layer between your agents and this server.