LMStudio-MCP

@infinitimeless

About LMStudio-MCP

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

Config

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

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

Tools

No tools detected

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

FAQ from LMStudio-MCP

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.

Where does LMStudio-MCP process data?

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

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).

Frequently asked questions

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.

Where does LMStudio-MCP process data?

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

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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