houtini-lm — MCP Server by houtini-ai

by houtini-ai · MCP Server · ★ 104

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About houtini-lm

@houtini/lm Houtini LM - Save Tokens by Offloading Tasks from Claude Code to Your Local LLM Server (LM Studio / Ollama) or a Cloud API Quick Navigation How it works Developer guide I built this because I kept leaving Claude Code running overnight on big refactors and the token bill was painful. A huge chunk of that spend goes on bounded tasks any decent model handles fine - generating boilerplate, code review, commit messages, format conversion. Stuff that doesn't need Claude's reasoning or tool

ai-agentsclaudeclaude-mcpcode-generationdeveloper-tooldeveloper-toolslm-studiolm-studio-mcplocal-llmmcp

Quick Facts

Stars104
Forks24
LanguageJavaScript
CategoryMCP Server
LicenseApache-2.0
Quality Score72.1667082858118/100
Open Issues9
Last Updated2026-08-08
Created2025-09-04
Platformsclaude-code, cli, mcp, node
Est. Tokens~19k

Compatible Skills

These tools work well together with houtini-lm for enhanced workflows:

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Frequently Asked Questions

What is houtini-lm?

houtini-lm is MCP server that saves Claude Code tokens by delegating bounded tasks to local or cloud LLMs. Works with LM Studio, Ollama, vLLM, DeepSeek, Groq, Cerebras.. It is categorized as a MCP Server with 104 GitHub stars.

What programming language is houtini-lm written in?

houtini-lm is primarily written in JavaScript. It covers topics such as ai-agents, claude, claude-mcp.

How do I install or use houtini-lm?

You can find installation instructions and usage details in the houtini-lm GitHub repository at github.com/houtini-ai/houtini-lm. The project has 104 stars and 24 forks, indicating an active community.

What license does houtini-lm use?

houtini-lm is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to houtini-lm?

The top alternatives to houtini-lm on Agent Skills Hub include ollama-mcp-bridge, trace-mcp, claude-emporium. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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