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lm

local MCP server

Installation

Terminal

claude mcp add lm -e HOUTINI_LM_ENDPOINT_URL=... -e HOUTINI_LM_API_KEY=... -e HOUTINI_LM_MODEL=... -e HOUTINI_LM_PROVIDER=... -- npx -y @houtini/lm

Run in your project folder. Add --scope user to use it everywhere.

Claude Desktop, Cursor & other clients

Add to claude_desktop_config.json or .cursor/mcp.json.

{
  "mcpServers": {
    "lm": {
      "command": "npx",
      "args": [
        "-y",
        "@houtini/lm"
      ],
      "env": {
        "HOUTINI_LM_ENDPOINT_URL": "...",
        "HOUTINI_LM_API_KEY": "...",
        "HOUTINI_LM_MODEL": "...",
        "HOUTINI_LM_PROVIDER": "..."
      }
    }
  }
}

Fill in the environment variables with your own credentials.

Summary

Connect Claude to any OpenAI-compatible LLM endpoint and offload routine work to a local model.

Questions

lm is a local MCP server distributed as the npm package @houtini/lm.

Run: claude mcp add lm -e HOUTINI_LM_ENDPOINT_URL=... -e HOUTINI_LM_API_KEY=... -e HOUTINI_LM_MODEL=... -e HOUTINI_LM_PROVIDER=... -- npx -y @houtini/lm

Run: codex mcp add lm --env HOUTINI_LM_ENDPOINT_URL=... --env HOUTINI_LM_API_KEY=... --env HOUTINI_LM_MODEL=... --env HOUTINI_LM_PROVIDER=... -- npx -y @houtini/lm

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