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LMStudio MCP Server

@infinitimeless

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

トランスポート

stdio

作者

infinitimeless

LMStudio MCP Server について

A Model Control Protocol (MCP) server that allows Claude to communicate with locally running LLM models via LM Studio.

LMStudio MCP Server の設定

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": {
    "LMStudio-MCP": {
      "command": "python",
      "args": [
        "lmstudio_bridge.py"
      ]
    }
  }
}

LMStudio MCP Server のツール

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。

概要

What is LMStudio-MCP?

LMStudio-MCP is a Model Context Protocol (MCP) server that bridges Claude with locally running LLM models via LM Studio. It is for developers who want to use private, offline AI models through Claude’s interface.

How to use LMStudio-MCP?

Install LMStudio-MCP via one-line script, manual Python setup, Docker, or Docker Compose. Configure it with environment variables for host/port, then add the appropriate MCP configuration to Claude. Start LM Studio with a loaded model, and Claude will be able to call the server’s tools.

Key features of LMStudio-MCP

  • Check LM Studio API health
  • List and identify loaded models
  • Generate chat and raw text completions
  • Create vector embeddings for semantic search
  • Maintain stateful multi-turn conversations
  • Start persistent sessions with a locked system prompt

Use cases of LMStudio-MCP

  • Private/offline inference without sending data to external APIs
  • Semantic search and RAG workflows via embeddings
  • Multi-turn conversational agents with persistent context
  • Local coding assistant with consistent behaviour
  • Privacy-first document analysis with accurate summarisation

よくある質問

1

What are the dependencies for LMStudio-MCP?

Python 3.7+, a running LM Studio instance with a model loaded, MCP-compatible Claude client, and the `requests`, `mcp[cli]`, and `openai` Python packages.

2

Where does LMStudio-MCP process data?

All inference happens locally on your machine via LM Studio; no data is sent to external services.

3

Are there any version requirements for certain tools?

`create_response`, `start_conversation`, and `continue_conversation` require LM Studio v0.3.29+. `generate_embeddings` requires an embedding-specific model (e.g., `text-embedding-nomic-embed-text-v1.5`).

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