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LMStudio MCP Server

@infinitimeless

Repository

Basic information

Category

AI & Agents

License

MIT

Transports

stdio

Author

infinitimeless

About LMStudio MCP Server

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

LMStudio MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

LMStudio MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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`).

Comments

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