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DimensionAsk Ollama MCP ServerBridge Claude with local Ollama models for private AI-to-AI collaboration — no API keys, fully local.GitHub MCP ServerGitHub's official MCP server for managing repos, issues, PRs, and workflows via natural language
FMRS54 / 100 · D76 / 100 · B
Reliability8 / 2013 / 20
Security and permissions11 / 2014 / 20
Maintenance12 / 2018 / 20
Documentation12 / 2017 / 20
Setup experience11 / 2014 / 20
Best for
  • Teams or individuals with strict data-privacy requirements whose code cannot leave the machine
  • Developers already running Ollama locally who want to reuse that compute
  • Claude Code, Cursor, or Codex CLI users who want a second opinion from a different model
  • Users who want to avoid per-token API costs
  • Teams that want an AI assistant to directly operate on GitHub repos and collaboration workflows
  • Users already in the GitHub Copilot ecosystem who want a zero-deployment remote option
Not for
  • Environments without Ollama installed or running
  • Workflows needing large cloud-model capability or very large-context reads
  • Users wanting multi-provider parallel fan-out (multi-llm) or cross-provider orchestration — use the unified @ask-llm/mcp instead
  • Users seeking official vendor support or an official relationship
  • Scenarios where you don't want the assistant to have write access to repos (enable only read-only toolsets)
  • Environments with strict network isolation for private repos that can't reach the official remote endpoint
Required permissions
  • Local process communication with the MCP client over stdio
  • Access to the local Ollama HTTP service (default http://localhost:11434, configured via OLLAMA_HOST)
  • Reads prompt content passed by the MCP client (the code or text sent to local Ollama)
  • A personal access token (PAT) or OAuth App token; effective scope depends on the token's own permissions
  • Enabling toolsets like actions/issues/pull_requests grants write access — request tokens on a least-privilege basis
Risks and side effects
  • Prompt content is sent to the local Ollama service; if OLLAMA_HOST is misconfigured to a remote host, data could leave the machine
  • Local models are generally weaker than frontier cloud models, so reviews may be incomplete or produce false positives
  • If the requested model has not been pulled locally, the call fails with an ollama pull error
  • Third-party, unofficial project — not endorsed by Anthropic, Google, OpenAI, or xAI
  • Long local inference may exceed the default 5-minute timeout (GMCPT_TIMEOUT_MS) and be interrupted
  • Write toolsets (creating/merging PRs, triggering workflows) can cause accidental changes if the token is overscoped — try a read-only toolset first
  • In hosted mode, credentials travel via the Authorization header — make sure the client-to-api.githubcopilot.com connection is trusted
Supported clientsClaude Desktop, Claude Code, Cursor, CodexClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, JetBrains IDEs, Zed, Amp
Tools315