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    Enables querying YouTube gaming opportunity rankings to answer 'what should I record?' by providing tools for top games, game breakdowns with AI video ideas, and live topic checks.
    3
    5 npm
    MIT
  • A
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    A
    quality
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    maintenance
    MCP server providing agricultural market intelligence tools (price, margin, trend, report generation) that can be used by any MCP client to answer multi-step queries about commodity markets.
    5
    MIT
  • A
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    C
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    Enables MCP clients to generate synthetic ERP datasets, download the generated packages, and read labelled fraud answer keys using plain language.
    MIT
  • A
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    A
    maintenance
    Enables AI assistants to answer questions about private companies, founders, investors, funding rounds, and news with sources. Users can read company and person profiles, look up names, and run plain-English research on competitors and investor activity.
    9,501 npm
    Apache 2.0
  • A
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    Public read-only MCP server for HiBot's AI-visibility knowledge: the ANSWER framework for measuring how AI answer engines surface, recommend, and represent brands, plus audit plans, case studies, and research. Hosted Streamable HTTP endpoint; the repo's Dockerfile bridges stdio via mcp-remote.
    MIT
  • A
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    Enables AI assistants to answer tennis tactical questions using shot-by-shot charted match data, producing game plans, serve and return tendencies, scouting reports, match forecasts, and explanations of why a match turned. Exposes read-only tools for player reports, head-to-head game plans, match breakdowns, and tactical leaderboards, each with confidence margins and links to full pages.
    MIT
  • A
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    B
    maintenance
    Verifiable geospatial tools for AI agents: geodesic distance, topology, geocoding, elevation, isochrones and Overture Maps places and buildings. Every answer carries its source, licence and units.
    657 PyPI
    20
    Apache 2.0
  • A
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    Enables AI assistants to answer growth questions in plain English by connecting to marketing and product data via 49 MCP tools.
    25
    MIT
  • A
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    MCP server that answers questions using Reddit discussions as evidence, searching threads, fetching comments, and ranking useful context, with optional cited answer synthesis.
    MIT
  • A
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    MCP server for semantic research: search arXiv, fetch papers, and answer questions grounded in the actual paper text via RAG tools, resources, and prompts.
    1
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    Enables AI clients to record research-process artifacts (agents, sources, claims, uncertainty, disagreement, tool usage) and compile a hosted process X-Ray report to inspect what a polished final answer may hide.
    MIT
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    Enables AI agents to search layered web and about 45 structured data sources and receive quote-checked answers with supporting citations, or not_found when the evidence is insufficient.
    MIT
  • A
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    Not graded
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    C
    maintenance
    Enables LLMs to answer Vedic astrology questions about dashas, transits, and planetary positions using real sidereal calculations.
    AGPL 3.0
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    quality
    C
    maintenance
    Enables AI assistants to answer tennis string questions from lab measurements rather than marketing copy, covering stiffness, tension loss, energy return, spin and price. Supports searching, comparing and recommending strings for a player's needs and racquet, with measurements and estimates kept separate.
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    Enables AI assistants to answer questions about the department's imaging facility—microscopes, lab VMs, protocols, and measurements—by reading a locally synced, read-only copy of the site's library and citing relevant pages.
    MIT
  • A
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    quality
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    maintenance
    Enables AI agents to submit verbatim source quotes for server-side verification, blind-review evidence, build reputation, and run literature checks on open Erdős problems by checking whether published papers already answer them.
    2 npm
    MIT
  • A
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    Enables semantic search and grounded answering over customer-research interviews, with every answer traceable to source quotes.
    MIT