houtini-lm
Reduces Claude API costs and latency by routing routine, bounded tasks to cheaper local or specialized LLMs while preserving Claude for high-value reasoning,…
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.
- Delegate routine code review tasks to a local LLM while preserving Claude tokens for complex analysis
- Offload documentation generation to Ollama so Claude handles architecture decisions instead
- Route repetitive data transformation jobs to Groq's fast inference for cost-effective token savings
Reduces Claude API costs and latency by routing routine, bounded tasks to cheaper local or specialized LLMs while preserving Claude for high-value reasoning, lowering total cost of ownership for token-intensive workflows.
Engineering teams running high-volume Claude integrations seeking to optimize LLM spend without sacrificing capability on strategic tasks.
https://github.com/houtini-ai/houtini-lm
By houtini-ai
How to Get It
claude plugins install houtini-ai/houtini-lm
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me delegate routine code review tasks to a local LLM while preserving Claude tokens for complex analysis
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 99 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 99 GitHub stars; contributors unknown; last commit 1d ago; license MIT.