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MCP-LLM Bridge

@patruff

Repository

Basic information

Category

AI & Agents

License

MIT

Transports

stdio

Author

patruff

About MCP-LLM Bridge

Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools

MCP-LLM Bridge config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP-LLM Bridge tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP-LLM Bridge?

A TypeScript implementation that connects local LLMs (via Ollama) to Model Context Protocol (MCP) servers. It translates between an LLM’s outputs and MCP’s JSON‑RPC protocol, letting open‑source models use the same tools and capabilities as Claude while running entirely locally.

How to use MCP-LLM Bridge?

Install Ollama, pull a model (e.g., ollama pull qwen2.5-coder:7b-instruct), and globally install the required MCP servers via npm. Set API keys/tokens in your environment. Create a bridge_config.json for MCP server definitions and LLM settings. Start the bridge with npm run start. Available commands: list‑tools (show available tools), regular text (send prompts), and quit.

Key features of MCP-LLM Bridge

  • Multi‑MCP support with dynamic tool routing
  • Structured output validation for tool calls
  • Automatic tool detection from user prompts
  • Robust process management for Ollama
  • Detailed logging and error handling

Use cases of MCP-LLM Bridge

  • Search the web for recent information (Brave Search MCP)
  • Create, read, or modify files and folders (Filesystem MCP)
  • Send emails and manage documents (Gmail & Drive MCP)
  • Interact with GitHub repositories (GitHub MCP)
  • Generate images via Flux (Flux MCP)

Frequently asked questions

1

Which LLM models does it support?

The bridge works with any Ollama-compatible model. The current setup uses Qwen 2.5 7B (`qwen2.5-coder:7b-instruct`), and future improvements plan to support more Ollama models.

2

What MCP servers are included?

The README lists six: Filesystem, Brave Search, GitHub, Memory, Flux image generation, and Gmail & Drive.

3

How does tool detection work?

The bridge automatically detects tools based on user input—for example, email addresses trigger Gmail operations, file/folder keywords trigger Drive operations, and search terms are routed to Brave Search.

4

Where does data live?

All processing runs completely locally with open‑source models; no cloud data transfer is mentioned.

5

What credentials are required?

Brave Search requires `BRAVE_API_KEY`, GitHub requires `GITHUB_PERSONAL_ACCESS_TOKEN`, Flux requires `REPLICATE_API_TOKEN`, and the Gmail/Drive MCP must be authenticated via `node path/to/gmail-drive/index.js auth`.

Comments

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