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.
@infinitimeless
基本信息
MCP server to bridge Claude with local LLMs running in LM Studio
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。
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.
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.
You need Claude Desktop with MCP support, LM Studio installed and running locally with its API server enabled, and Python 3.8 or later.
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.
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.
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.
Yes. Create a `.env` file with `LMSTUDIO_HOST` and `LMSTUDIO_PORT` set to your preferred values. The defaults are `127.0.0.1` and `1234`.
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