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

DimensionDocs MCP Server (Grounded Docs)Self-hosted, version-accurate documentation grounding for AI coding assistants.MartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS65 / 100 · C79 / 100 · B
Reliability9 / 2012 / 20
Security and permissions12 / 2018 / 20
Maintenance14 / 2016 / 20
Documentation16 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • Developers who want private, self-hosted, version-accurate documentation grounding for AI coding assistants
  • Teams wanting to index internal or third-party docs without sending code to external hosted services
  • 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
  • Users wanting a zero-setup hosted service without running their own server
  • Users needing immediate answers for documentation that hasn't been scraped/indexed yet
  • Use cases requiring guaranteed 100% accurate retrieval with no keyword/semantic search misses
  • 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
  • Outbound network access to fetch documentation from websites, GitHub, npm, and PyPI
  • Read access to local files, folders, and archives when indexing local sources
  • Local disk/storage for the documentation index (Docker deployments use /data and /config volumes)
  • Network access and an API key to a third-party embedding provider (e.g. OpenAI) if semantic search is enabled
  • Binding a local network port (default 6280) to serve the Web UI and MCP endpoint
  • 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
  • Fetching and indexing arbitrary external URLs can pull in untrusted or malicious content
  • Binding the server to 0.0.0.0 without configuring authentication (OAuth2/OIDC) can expose the Web UI, MCP endpoint, and indexed documentation to anyone on the network
  • Processing untrusted archives, Office documents, and PDFs carries the general risk of file-parsing bugs
  • Embedding-provider API keys (e.g. OPENAI_API_KEY) are supplied via environment variables and sent to the third-party provider
  • 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 Desktop, Cline, VS Code, GitHub Copilot, Gemini CLIClaude Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools10