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"Improving the Intelligence of Large Language Models" matching MCP servers:

  • MCP YouTube Intelligence

    JangHyuckYun
    A
    license
    A
    quality
    C
    maintenance
    An MCP server for intelligent YouTube video analysis that provides token-optimized summaries, sentiment analysis, and entity extraction from transcripts. It enables AI assistants to perform video reporting, channel monitoring, and comprehensive YouTube searches through structured data tools.
    10
    50
    Apache 2.0

  • global-news-intelligence-mcp

    ashtondebug
    A
    license
    B
    quality
    C
    maintenance
    MCP server that fetches, ranks, and summarizes global news from 28 RSS sources across 12 categories, exposing 16 tools for LLMs to query technology, AI, finance, politics, and more.
    16
    MIT

  • Quorum

    AnjanaSuresh01
    A
    license
    -
    quality
    C
    maintenance
    Quorum is an MCP server for querying meeting archives in natural language, returning answers with citations to speakers and timestamps or explicitly abstaining when evidence is insufficient.
    MIT

  • tooltrim

    nac7
    A
    license
    A
    quality
    B
    maintenance
    tooltrim reduces the tokens agents spend re-reading bloated tool results. Run it as an MCP server exposing compress and expand_tool_output, or as a gateway in front of any upstream MCP server: it re-exposes the upstream tools unchanged and shrinks each result (HTML/JSON/logs/tables) before it reaches the model, keeping the relevant content only.
    2
    2
    MIT

  • koreafilings-mcp

    OldTemple91
    A
    license
    A
    quality
    B
    maintenance
    MCP server for koreafilings.com — AI-summarized Korean DART (전자공시) corporate disclosures, paid per call in USDC via the x402 protocol on Base. Tools: get_pricing (free), get_disclosure_summary (0.005 USDC).
    5
    MIT

  • sarup

    PHUICMT
    A
    license
    A
    quality
    B
    maintenance
    Enables context compression for Claude Code with Thai language support, reducing token usage by 50-88% while preserving full recoverability of original content.
    3
    MIT

  • MCP Long Context Reader

    yuplin2333
    A
    license
    A
    quality
    D
    maintenance
    MCP Long Context Reader is a Python-based toolkit designed to overcome the context window limitations and high costs associated with Large Language Models (LLMs) processing extensive documents. It provides a FastMCP server with multiple, powerful strategies for an LLM agent to 'read' and query long documents without needing to load the entire text into its context window.
    5
    5
    MIT

  • yt-analysis-mcp

    Legorobotdude
    F
    license
    A
    quality
    C
    maintenance
    Enables analysis of YouTube videos using the Gemini API to generate summaries and answer specific questions via direct URLs. It supports standard videos and shorts, allowing users to interact with video content without requiring manual downloads.
    5
    4

  • distill-mcp-v2

    yatinkoul
    A
    license
    A
    quality
    C
    maintenance
    distill-mcp-v2 is a high-performance, network-dependency-free Python FastMCP server designed to aggressively optimize Large Language Model (LLM) context windows. It provides specialized tools for compressing and analyzing massive AI-agent payloads without losing critical semantic information.
    8
    MIT