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• claude-token-saver-mcp

  BlackFoil

  A

  license

  A

  quality

  C

  maintenance

  Enables Claude Code to offload routine code generation and text processing tasks to a local Ollama LLM, saving Cloud API tokens and costs with automatic model selection and security features.

  Updated 5 months ago (2026-03-31 09:23 UTC)

  11

  61

  4

  Apache 2.0

• LocalForge

  aditya1503

  F

  license

  -Not graded

  quality

  C

  maintenance

  Enables hybrid agentic coding by delegating token-heavy implementation, editing, and test-debug loops to local open-source models while frontier cloud models handle architecture and review, reducing premium API token usage and keeping code private.

  Updated 5 days ago (2026-08-23 09:24 UTC)

  1

• local-llm-mcp

  HenryLinyy

  A

  license

  B

  quality

  C

  maintenance

  Enables coding agents like Claude Code and Codex to offload boilerplate generation, summarization, and other bounded text tasks to local or cheap cloud LLMs, keeping the frontier agent in charge of judgment and code edits.

  Updated 2 months ago (2026-07-01 00:26 UTC)

  9

  2

  MIT

• Ollama MCP Server

  Jadael

  A

  license

  -Not graded

  quality

  D

  maintenance

  Enables Claude to delegate coding tasks to local Ollama models, reducing API token usage by up to 98.75% while leveraging local compute resources. Supports code generation, review, refactoring, and file analysis with Claude providing oversight and quality assurance.

  Updated 10 months ago (2025-10-24 00:20 UTC)

  294

  22

  AGPL 3.0

• cctx

  anil7948

  A

  license

  -Not graded

  quality

  B

  maintenance

  Enables Claude Code to reduce token usage by 70-90% using a local LLM for codebase indexing, tool output compression, and turn summarization.

  Updated 3 months ago (2026-06-05 16:29 UTC)

  35

  2

  MIT

• Local Worker MCP

  CaioAllgayer

  A

  license

  B

  quality

  C

  maintenance

  Delegates heavy, repetitive, and verifiable tasks like PDF extraction, code analysis, and log processing to a local LLM to reduce token consumption for frontier AI models, while keeping decision-making with the main AI.

  Updated 10 days ago (2026-08-17 19:43 UTC)

  8

  MIT