#899 · Primary category: AI Agents & Automation
ollama-mcp-bridge
Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
Project last updated:04/20/25
GitHub Stars
983
Forks
114
Contributors
3
License
MIT
Why we included this project
People who run local models through Ollama often hit a wall: the model can answer questions, but it cannot call tools the way hosted assistants do. This bridge fixes that by sitting between Ollama and MCP servers, translating the model's output into the JSON-RPC calls those servers expect. With it, a seven-billion-parameter model like Qwen 2.5 can touch filesystems, search the web, or talk to GitHub, Gmail, and even an image generator. Tool registration, routing, and validation are separated into distinct pieces, so adding your own MCP endpoint does not require rewriting much. That makes the project appealing to developers who want privacy-aware agents on their own hardware and would rather keep prompts off hosted APIs. Just know it is a hands-on integration project, not a turnkey product; plan for configuration and credential setup.
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