ollama-mcp-bridge
Enables teams to run local LLMs with dynamic tool access across multiple MCP servers, reducing vendor lock-in and API costs while maintaining full integratio…
Extend the Ollama API with dynamic AI tool integration from multiple MCP (Model Context Protocol) servers. Fully compatible, transparent, and developer-friendly, ideal for building powerful local LLM applications, AI agents, and custom chatbots
- Ask Claude to connect local language models with external tools via MCP servers without rewriting code.
- Build an AI agent that uses Ollama models while automatically accessing multiple tool integrations simultaneously.
- Generate custom chatbot responses that combine local LLM inference with dynamic tool capabilities from MCP.
Enables teams to run local LLMs with dynamic tool access across multiple MCP servers, reducing vendor lock-in and API costs while maintaining full integration compatibility without custom engineering overhead.
Engineering teams building local AI agents or custom chatbots requiring multi-source tool integration without cloud dependencies.
https://github.com/jonigl/ollama-mcp-bridge
By jonigl
How to Get It
claude mcp add ollama-mcp-bridge -- npx -y ollama-mcp-bridge
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Connect local language models with external tools via MCP servers without rewriting code
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 96 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
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Evaluation
Scored from trust signals (evidence-eval-v1): 96 GitHub stars; contributors unknown; last commit 0d ago; license MIT.