MCP-LLM Bridge

@patruff

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

patruff

关于 MCP-LLM Bridge

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

MCP-LLM Bridge 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP-LLM Bridge 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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)

常见问题

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.

What MCP servers are included?

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

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.

Where does data live?

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

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`.

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