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mcp-token-optimizer

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    • A
      license
      Not graded
      quality
      D
      maintenance
      An adaptive tiny-model layer that sits between an LLM and its MCP tools, compressing verbose tool outputs to reduce token usage by up to two orders of magnitude.
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Token-efficient MCP reimplementation with progressive tool discovery, result handling, and compact wire encoding, reducing token usage by up to 89% on tool definitions.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      MCP proxy that compresses tool schemas on the fly. Up to 98% token reduction, 100% signal preserved verified after every compression. Zero LLM calls, fully deterministic.
      5
      4
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI coding agents to reduce token usage by condensing source code into AST skeletons, extracting specific symbols, compressing logs, and estimating token budgets.
      4
      MIT