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  • 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
    13,202
    19,321
    Elastic 2.0

  • mem-context

    turbyho
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    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

  • pdf-context

    mematcha
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    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.
    Last updated
    10
    MIT

  • Context MCP

    Raunak-dev-18
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    Provides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.
    Last updated
    6
    3
    MIT

  • youtube-context-mcp

    realiti4
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    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
    1
    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

  • Massive Context MCP

    egoughnour
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    quality
    C
    maintenance
    An MCP server that enables processing of massive datasets up to 10M+ tokens using a recursive language model pattern for strategic chunking and analysis. It automates sub-queries and result aggregation using free local inference via Ollama or the Claude API to handle context beyond standard prompt limits.
    Last updated
    17
    1
    MIT

  • fw-context-mcp

    turbyho
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    Exposes tools for AI assistants to query a persistent SQLite+FTS5 index of C/C++ symbols parsed from real build commands, enabling sub-millisecond lookup, full-text search, and natural-language explanation without hallucination.
    Last updated
    33
    6
    MIT

  • Task Context MCP Server

    l0kifs
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    Enables AI agents to autonomously manage and improve execution processes for repetitive task types by storing reusable task contexts with associated artifacts (practices, rules, prompts, learnings) and providing full-text search across historical best practices.
    Last updated
    8
    1
    MIT

  • SRC (Structured Repo Context)

    kvnpetit
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    An MCP server and CLI tool that transforms codebases into AI-ready context through semantic search, call graph analysis, and incremental indexing. It enables AI assistants to perform hybrid vector and keyword searches to understand complex repository structures and cross-file relationships.
    Last updated
    5
    14
    1
    MIT

  • Agent Context Optimizer MCP

    AiAgentKarl
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    maintenance
    Analyzes tasks to recommend the minimal set of MCP servers needed, reducing context window waste by up to 85%.
    Last updated
    5
    1
    MIT