Developer tools · MCP server
Houtini lm: MCP server, setup and security
Houtini lm is an open-source MCP server that lets an AI agent connect Claude to compatible LLM endpoints and offload routine tasks locally. Its repository has 121 stars and its last commit is from October 24, 2026 and it is licensed under Apache-2.0.
| Adoption (stars) | 21/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 15/30 |
What Houtini lm does
According to its repository: “Connect Claude to any OpenAI-compatible LLM endpoint and offload routine work to a local model.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Houtini lm is listed under Developer tools, a category of 475 servers in the directory, where it ranks #163 by stars.
Topics declared by the repository: ai-agents, claude-mcp, code-generation, developer-tool, developer-tools, lm-studio.
Installing and connecting Houtini lm
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx)
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
Points found for Houtini lm:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on September 4, 2025, the houtini-ai/houtini-lm repository has 121 stars and 26 forks, with 0 open issues. It has more stars than 70% of the servers in the directory. It received changes this month. Version published in the registry: 3.3.4 (October 7, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Houtini lm is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Listed in the official MCP registry
- Permissive licence (Apache-2.0)
Limitations
- Requires an API key or token
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Radar Kubernetes MCP Server3.9K ★
- Repowise7.9K ★
- Jscpd6.4K ★
- Apify MCP server12.9K ★
- Codebase Memory47.4K ★
- PostHog MCP Server40.4K ★
Learn more
Frequently asked questions
How do I install Houtini lm?
Houtini lm is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of houtini-ai/houtini-lm.
Is Houtini lm free?
The code is published under the Apache-2.0 licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Houtini lm safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by houtini-ai on GitHub. Check who maintains it before giving it access.
What are the alternatives to Houtini lm?
In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score