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
基本情報
MCP server to bridge Claude with local LLMs running in LM Studio
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"claude-lmstudio-bridge": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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