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Lm MCP Server

by Houtini Ai
Developer ToolsLow Risk10.0MCP RegistryLocal
Free

Server data from the Official MCP Registry

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

About

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

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: trusted author (6/7 approved).

4 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

Shell Command Execution

Runs commands on your machine. Be cautious — only use if you trust this plugin.

file_system

Check that this permission is expected for this type of plugin.

database

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Base URL of the OpenAI-compatible API endpoint (e.g. http://localhost:1234, https://openrouter.ai/api). Legacy alias: LM_STUDIO_URL.Optional

Environment variable: HOUTINI_LM_ENDPOINT_URL

Bearer token for API authentication (no auth if blank). Legacy aliases: LM_STUDIO_PASSWORD, LM_PASSWORD, OPENROUTER_API_KEY.Required

Environment variable: HOUTINI_LM_API_KEY

Model identifier to use for requests (auto-detected if not set). Legacy alias: LM_STUDIO_MODEL.Optional

Environment variable: HOUTINI_LM_MODEL

Optional provider override: 'openrouter' forces OpenRouter-specific handling (attribution headers, reasoning.exclude, no inference serialisation). Auto-detected from the endpoint URL when possible.Optional

Environment variable: HOUTINI_LM_PROVIDER

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-houtini-ai-lm": {
      "env": {
        "HOUTINI_LM_MODEL": "your-houtini-lm-model-here",
        "HOUTINI_LM_API_KEY": "your-houtini-lm-api-key-here",
        "HOUTINI_LM_PROVIDER": "your-houtini-lm-provider-here",
        "HOUTINI_LM_ENDPOINT_URL": "your-houtini-lm-endpoint-url-here"
      },
      "args": [
        "-y",
        "@houtini/lm"
      ],
      "command": "npx"
    }
  }
}

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