Related Servers

No user-submitted related servers found.

Related Servers

• Houtini LM

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  A

  license

  -Not graded

  quality

  A

  maintenance

  An MCP server that lets an MCP client offload bounded tasks such as code review, boilerplate, test stubs, commit messages and format conversion to a local LLM or a cheaper cloud model, keeping the source files out of the main model's context and cutting token costs. It also provides a second model for reviewing code, generating embeddings and drafting content, with the orchestrating client checking all returned work.

  Updated 4 days ago (2026-10-18 20:15 UTC)

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• cn-llm-mcp

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  license

  A

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  maintenance

  Local MCP server that enables delegating low-risk tasks like summarization or code patches to a low-cost model, with the main agent reviewing results.

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• mcp-local-llama

  chrishorne74

  A

  license

  -Not graded

  quality

  B

  maintenance

  MCP server that delegates mechanical tasks like summarization, classification, extraction, and drafting to a local Llama.cpp LLM, serving as a cost-optimization layer while Claude handles reasoning and quality control.

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• local-llm-mcp

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  A

  license

  A

  quality

  D

  maintenance

  MCP server connecting Claude Code to LM Studio, delegating token-expensive tasks to a local model while keeping the cloud model in control. It reduces cloud context usage by reading files locally and returning only the processed results.

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  4

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• Claude-Gemini Compactor MCP

  SuarezPM

  A

  license

  -Not graded

  quality

  D

  maintenance

  An MCP server that bypasses Claude's context by routing file processing to local or cloud AI, saving token costs. It reads files from disk and returns distilled results without Claude seeing the raw content.

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• Houtini LM

  Nguyen53

  F

  license

  -Not graded

  quality

  A

  maintenance

  An MCP server that lets Claude Code or any MCP client hand bounded work — code review, boilerplate, commit messages, format conversion, embeddings — to a local GPU model, an OpenAI-compatible endpoint, a router, or a cheap cloud API, so those files never enter the orchestrator's context window. This cuts token spend and quota use while providing a second model to sanity-check results.

  Updated 6 days ago (2026-10-15 21:48 UTC)

  -