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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionRef MCPToken-efficient documentation search for coding agents.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS55 / 100 · C79 / 100 · B
Reliability9 / 2012 / 20
Security and permissions8 / 2018 / 20
Maintenance11 / 2016 / 20
Documentation14 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • AI coding agents that need technical documentation lookup
  • Teams seeking to reduce irrelevant documentation context and token usage
  • Users who need access to public and authorized private documentation resources
  • 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
  • MCP workflows that do not need documentation retrieval
  • Users without a Ref API key
  • General-purpose web scraping scenarios rather than documentation search and reading
  • 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
  • An API key is required for authentication
  • Private-resource use requires authorization to those private repositories or documents
  • 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
  • The API key is a secret credential and should not be exposed or committed to shared configuration
  • Searching private repositories and PDFs may expose their contents to the agent
  • Retrieved content becomes part of the agent context and should still be checked against the task
  • 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 clientsCursorClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools20