Claude-LMStudio Bridge

Name: Claude-LMStudio Bridge
Author: infinitimeless

@infinitimeless

代码仓库

关于 Claude-LMStudio Bridge

MCP server to bridge Claude with local LLMs running in LM Studio

基本信息

分类

AI 与智能体

运行时

python

传输方式

stdio

发布者

infinitimeless

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "claude-lmstudio-bridge": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

工具

未检测到工具

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 Claude-LMStudio Bridge?

An MCP server that bridges Claude with local LLMs running in LM Studio. It allows Claude to list available models, generate text, perform chat completions, and verify connectivity with your local LM Studio instance.

How to use Claude-LMStudio Bridge?

Install by cloning the repository and running the setup script (setup.sh on macOS/Linux, setup.bat on Windows). The script guides you through configuring Claude Desktop with the bridge. Alternatively, manually create a virtual environment, install dependencies from requirements.txt, and configure a new MCP server in Claude Desktop with the correct command and arguments. Ensure LM Studio is running with its API server enabled (default port 1234). You can customize host, port, and debug logging via a .env file using LMSTUDIO_HOST, LMSTUDIO_PORT, and DEBUG variables.

Key features of Claude-LMStudio Bridge

List all available models in LM Studio
Generate text using your local LLMs
Support for chat completions through local models
Health check tool to verify LM Studio connectivity
Bridges Claude Desktop with local LLM infrastructure

Use cases of Claude-LMStudio Bridge

Check if your LM Studio server is running and reachable
List available models loaded in your local LM Studio
Generate text (e.g., a poem) using a local LLM
Send chat completion queries to your local model from Claude

FAQ from Claude-LMStudio Bridge

What are the prerequisites to use Claude-LMStudio Bridge?

You need Claude Desktop with MCP support, LM Studio installed and running locally with its API server enabled, and Python 3.8 or later.

What should I do if Claude cannot connect to LM Studio?

Ensure LM Studio is running, the API server is enabled (Settings > API Server), and the port in your .env file (default 1234) matches LM Studio’s port. Use the provided debug_lmstudio.py script to diagnose issues.

What if Claude reports that no models are loaded?

Open LM Studio, load a model, and verify it is running successfully. The bridge can only list models that are currently loaded in LM Studio.

How do I fix a "MCP package not found" error?

Reinstall the required packages with pip install "mcp[cli]" httpx python-dotenv. Make sure you are using Python 3.8 or later and that the virtual environment is active.