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Alternatives to @tokenzero/mcp

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    • A
      license
      B
      quality
      D
      maintenance
      Local MCP server for token optimization, providing tools to compress code/JSON, optimize prompts, and manage placeholder-based content redaction and hydration to reduce LLM token usage.
      5
      ISC
    • F
      license
      Not graded
      quality
      A
      maintenance
      Shrinks logs, JSON, docs and web pages before your AI reads them: offline, deterministic, no API key. Folds repetitive log lines (12,037 to 127 tokens on a 400-line log) while code, URLs and quoted strings come back byte-for-byte. Also fetches URLs as clean text, counts tokens exactly, and has optional local Ollama tools for image and text compression.
      68 PyPI
      25
      -
    • A
      license
      A
      quality
      A
      maintenance
      Enables auditing the AI models and SDKs in a repository, drafting evaluation examples, ranking candidates by cost per passing answer, and generating cheapest-first routing configurations, all through read-only local tools that never make network calls. Also estimates monthly token spend and local weights/KV-cache memory so users can pick and size the cheapest model that passes their own tests.
      10
      3
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      A transparent proxy that sits in front of any other MCP server and shrinks its tool output before it reaches the model. Lossless by default: the transformed bytes are a denser encoding of the same data, with a round-trip gate asserting an exact inverse over the corpus, so nothing is dropped, summarised, or offloaded to a cache that expires. Repeated calls to the same tool emit a delta against the
      2
      528 PyPI
      2
      MIT