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"scikit-learn" matching MCP servers:

  • Lean Reader

    AIMento
    A
    license
    A
    quality
    D
    maintenance
    MCP server that converts URLs into token-minimized clean text for LLMs, providing a receipt of token and cost savings.
    1
    63
    MIT

  • lean-memory

    Wuesteon
    A
    license
    A
    quality
    A
    maintenance
    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

  • Ghost + Contentful MCP

    robsoncoelho
    F
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to search blog posts and pages from Ghost, and learn pages, case studies, and events from Contentful. Provides five search tools with contextual snippets via MCP stdio transport.
    5

  • pdf-context

    mematcha
    A
    license
    A
    quality
    B
    maintenance
    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

  • AgentRecall

    Goldentrii
    A
    license
    A
    quality
    C
    maintenance
    MCP server for persistent, compounding memory that automatically captures corrections and insights across AI sessions, enabling agents to learn and improve over time.
    5
    364
    MIT

  • Lean LSP MCP

    oOo0oOo
    A
    license
    A
    quality
    A
    maintenance
    Enables LLM agents to interact with the Lean theorem prover through the Language Server Protocol, providing tools for analyzing Lean projects, accessing diagnostics, goal states, documentation, and searching for theorems using both local and external search services.
    23
    475
    MIT

  • TradeMemory Protocol

    mnemox-ai
    A
    license
    A
    quality
    A
    maintenance
    An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.
    20
    1,408
    MIT

  • mcp-openmemory

    baryhuang
    A
    license
    A
    quality
    D
    maintenance
    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

  • nemesis-shield

    eobi
    A
    license
    A
    quality
    B
    maintenance
    A Model Context Protocol server that gives AI coding agents 16 tools to secure what they build: install the one-line Nemesis Shield SDK, learn/approve/enforce app protection, put a domain behind a Cloudflare-like edge, guard LLMs (OWASP LLM Top 10), and create + score Omniguard business-logic fraud rules. Runs locally over stdio; the discovery tools work with no account.
    16
    0
    MIT

  • learn-mcp

    abp2204
    A
    license
    A
    quality
    C
    maintenance
    An MCP server for agent-guided DSA practice that generates LeetCode-style problems and provides tutoring with escalating hints, concept explanations, and progress tracking.
    7
    7
    MIT

  • andy

    timtty-sinch
    A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to learn from their sessions by inspecting history, proposing rules or skills, and automatically persisting them to configuration files.
    4
    MIT

  • lean-computer-use-mcp

    Kvxw1105
    A
    license
    A
    quality
    B
    maintenance
    Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.
    5
    MIT

  • failure-memory

    CongBao
    A
    license
    A
    quality
    A
    maintenance
    Failure Memory provides AI coding agents with a shared local memory of failures, enabling them to record, recall, and learn from mistakes across sessions.
    2
    MIT