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DimensionAgentCatAnalytics platform for MCP server owners 🐱MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS38 / 100 · D79 / 100 · B
Reliability4 / 2012 / 20
Security and permissions9 / 2018 / 20
Maintenance8 / 2016 / 20
Documentation10 / 2018 / 20
Setup experience7 / 2015 / 20
Best for
  • MCP server developers
  • Teams building Claude Connectors or ChatGPT Plugins
  • Teams needing tool usage analytics
  • Organizations seeking simple telemetry integration
  • Engineering teams scaling AI coding agents while controlling spend
  • Platform teams that need auditable, rollback-aware agent execution records
  • Organizations using multiple agents (Claude, Codex, Gemini) under one governed flow
Not for
  • Developers not using MCP
  • Simple MCP servers with no need for analytics or telemetry
  • Scenarios with strict privacy requirements against third-party analytics services
  • Developers who just want a simple code-completion helper without run governance
  • Teams unwilling to accept local JSONL run records with HMAC signing
  • Environments without a supported adapter (Claude/Codex/Gemini CLIs, direct provider, or verifier-only)
Required permissions
  • Requires ability to modify MCP server tool schemas and inject additional parameters
  • Sends telemetry data and session replays to AgentCat servers or configured exporters
  • May access HTTP authentication information and headers for user identification
  • Read/write access to the configured repo root (writable scope restrictable via --allow-path/--deny-path)
  • Ability to invoke the chosen agent CLI (Claude/Codex/Gemini, etc.) and its underlying model account
  • Local disk writes for run records, receipts, and share outputs (share/run-receipt., etc.)
  • Execution of user-configured verifier commands (e.g. npm test)
Risks and side effects
  • Adds context overhead via injected parameters, but less than 1%
  • Sending telemetry to third-party services may raise data privacy concerns, though AgentCat redacts sensitive data and encrypts at rest
  • Depends on AgentCat service availability, but diagnostics failures do not affect tool calls
  • Free for open source, but commercial use may incur costs
  • Verifier commands are executed; poorly chosen verifier commands carry security risk despite preflight policy checks
  • Cost and token figures may be estimates (labeled with provenance) and should not be treated as settled accounting
  • Receipt integrity must be verified before use as trustworthy evidence; missing rollback evidence is flagged as EVIDENCE_BOUNDARY
  • Policy defaults come from martin.config.yaml and can be overridden by CLI flags; misconfiguration can loosen safety boundaries
Supported clientsClaude DesktopClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools40