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"scikit-learn" matching MCP servers:

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    A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.
    10
    MIT
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    Enables Claude to remember conversations and learn over time by storing and recalling messages, memory abstracts, and recent history using a local SQLite database.
    4
    25
    72
    MIT
  • A
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    A code ingestion tool that transforms your code into AI-optimized prompts instantly. Gather the relevant context with code2prompt under the hood. Learn more at code2prompt.dev
    7,514
    MIT
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    An MCP server for ingesting Lean Six Sigma PDFs into a searchable multimodal knowledge base.
    MIT
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    MCP server that converts URLs into token-minimized clean text for LLMs, providing a receipt of token and cost savings.
    1
    63
    MIT
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    Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.
    16
    7
    47
    Apache 2.0
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    mozg turns documentation into knowledge brains your agent queries over MCP instead of loading whole files into context. What makes it different: every brain sits an exam. Its goal becomes ~30 control questions, re-sat after every ingest — so 'trained 92%' is measured, not claimed, and the failing questions are listed publicly. Brains learn from use: searches that return nothing become exam questio
    8
    AGPL 3.0