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"Methods to Store and Learn Dynamic Context Memories" matching MCP servers:

  • learn-mcp

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

  • store-preflight-mcp

    asif786ka
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    An MCP server that scans code repositories for app store rejection risks by mapping API usage to required declarations and policy deadlines, enabling agents to catch issues before submission.
    Last updated
    5
    MIT

  • Context Mode

    mksglu
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    An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.
    Last updated
    11
    19,300
    19,639
    Elastic 2.0

  • Skill-to-MCP

    biocontext-ai
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated
    3
    27
    Apache 2.0

  • mem-context

    turbyho
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    maintenance
    Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.
    Last updated
    10
    MIT

  • eph-context

    matias-denatale
    F
    license
    A
    quality
    B
    maintenance
    Provides official INDEC register designs and methodological rules to AI models, enabling accurate EPH data analysis code (R/Python) without hallucinations.
    Last updated
    6
    1

  • pdf-context

    mematcha
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    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.
    Last updated
    10
    MIT

  • Context-first

    XJTLUmedia
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    quality
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    maintenance
    Long AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inp
    Last updated
    8
    1
    MIT

  • Context-MCP

    vshavlidze
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    maintenance
    Intelligent context manager for AI coding assistants that uses a three-level memory system (core, active, archive) to remember project context across conversations.
    Last updated
    9
    MIT

  • open-context

    incu6us
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    quality
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    maintenance
    A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.
    Last updated
    18
    3
    MIT

  • youtube-context-mcp

    realiti4
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    quality
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    maintenance
    A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.
    Last updated
    7
    2
    MIT