Llmstudio

Polski

MCP server exposing a local LM Studio instance to LLM agents — list / load / unload models, run chat and text completions, generate embeddings, and reach any other LM Studio REST endpoint via a raw escape hatch.

Table of contents

• Tools
• Environment variables
• Prerequisites
• Wiring it up
• Local run

Tools

Environment variables

Prerequisites

LM Studio running with its API server enabled — either the desktop app with the Developer tab toggle on, or lms server start from the CLI. At least one model downloaded (lms get <model>).

Wiring it up

Only requirement: uv (https://docs.astral.sh/uv/). Nothing else to install.

Claude Code

claude mcp add llmstudio-mcp -- uvx --from git+https://github.com/dam2452/llmstudio-mcp.git llmstudio-mcp

If you enabled API token auth in LM Studio:

claude mcp add llmstudio-mcp -e LMSTUDIO_MCP_API_KEY=<token> -- uvx --from git+https://github.com/dam2452/llmstudio-mcp.git llmstudio-mcp

Claude Desktop / other MCP client

{
  "mcpServers": {
    "llmstudio-mcp": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/dam2452/llmstudio-mcp.git", "llmstudio-mcp"]
    }
  }
}

After pushing a new version: uv cache clean and restart the client.

Local run

uv run --directory . llmstudio-mcp

Tests (manual):

uv run --directory . --with pytest pytest test/