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DimensionMCP Python SDKThe official Python SDK for building MCP servers and clientsMartinLoop MCP ServerAn independent control layer that gives AI coding agents budgets, brakes, and receipts
FMRS68 / 100 · C79 / 100 · B
Reliability9 / 2012 / 20
Security and permissions12 / 2018 / 20
Maintenance18 / 2016 / 20
Documentation16 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Python developers comfortable with type hints who want to quickly build an MCP server or client
  • Teams integrating MCP protocol capabilities (tool calls, resource access) into their own projects
  • Existing v1 users evaluating or migrating to the MCP v2 specification
  • 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 looking for a ready-to-install, end-user-facing MCP server (this repo is an SDK, not a specific service)
  • Projects stuck on Python 3.9 or earlier that cannot upgrade their runtime
  • Projects not yet ready to handle v1-to-v2 breaking changes and needing long-term lock-in to v1 behavior
  • 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
  • The SDK itself does not request specific system permissions; actual permission needs depend on the server logic developers build with it
  • If a server built with it runs over stdio, the host process can execute arbitrary local code logic defined by the developer's tool functions
  • If a server uses SSE or Streamable HTTP transport, network listening/access is required
  • 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
  • As a development library, the security of any resulting server depends entirely on how the implementer writes tool and resource logic — the SDK cannot guarantee downstream code safety
  • v1 to v2 introduces architectural breaking changes; projects without an upper version bound may unexpectedly pull an incompatible 2.x release on dependency upgrade
  • Tool function parameters and return values may still trigger unintended behavior from malicious or malformed input if the implementer omits extra validation
  • 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 Code, Codex, Gemini CLI, Cursor, VS Code, GitHub Copilot, Continue
Tools00