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    Predicts video game scores (0-100 scale, similar to Metacritic ratings) using machine learning based on game characteristics like price, release month, tags, genres, and platforms, trained on Steam game data.
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    Provides AI agents with direct access to KingsPlaybook's sports data including confirmed lineups, player projections, game lines, and pick history via native MCP tools.
    5
    31 npm
    MIT
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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
    6 npm
    MIT
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    MCP server with full coverage of the Gramps Web API REST endpoint functionality. Super-powers for your genealogy research with the help of AI.
    27
    49 PyPI
    2
    MIT
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    Provides real-time business event intelligence and AI-scored sales leads to help users track funding rounds, acquisitions, and executive hires. It enables AI agents to generate strategic market briefs and manage company watchlists for predictive business insights.
    7
    33 npm
    3
    MIT
  • A
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    A
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    Enables AI agents to audit Steam store pages for algorithmic health, forecast sales cones with P10/P50/P90 scenarios, and retrieve genre benchmarks for indie game market analysis.
    3
    MIT
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    A
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    A model context protocol server designed for AI development and QA, providing AntV document context and code examples.
    2
    1
    Apache 2.0
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    A
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    Enables AI assistants to access and search 3GPP telecommunications specifications through direct integration with the TSpec-LLM dataset. Provides real-time specification content, implementation requirements, and multi-spec comparisons for 3GPP standards development.
    4
    50 npm
    29
    MIT
  • F
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    A Python MCP server providing 11 tools for querying KenPom basketball analytics, including efficiency ratings, game predictions, four factors, and more through Claude.
    15
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    license
    B
    quality
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    maintenance
    Enables an LLM agent to reason about live British baseball league data through typed, read-only tools for scouting reports, matchups, lineup prediction, running-game tendencies, and playoff projection, with grounded caveats and sample sizes.
    25
    1
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    Enables querying live cross-platform gaming market data — Steam players, Twitch/YouTube viewership, prices, discounts, hype, and the aggro metric — through 8 read-only tools for summaries, rankings, genre rollups, game details, and search.
    MIT
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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
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    Enables searching and retrieving high-energy physics literature, authors, institutions, and conferences from INSPIRE-HEP.
    8 npm
    MIT
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    B
    maintenance
    Remote MCP server for the Torn City API v2, enabling querying of player, faction, market, and other game data, plus aggregated intelligence reports, all via natural language.
    MIT
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    Analyzes genealogy trees to detect errors, duplicates, and timeline inconsistencies while identifying missing source citations. It generates detailed audit reports and prioritized research leads to help users maintain accurate and well-documented family histories.
    MIT
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    Enables AI assistants to research the Asphalt 8 game engine through class-catalog lookup, Ghidra-based decompilation, notes, card writing, and quality checks, saving work to local drafts for later export and review.
    Apache 2.0
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    Provides AI assistants with access to authentic World of Tanks Blitz game data including tank statistics, armor values, map terrain features, equipment, crew skills, and camouflages parsed directly from local game files.
    1
    MIT
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    Grades prediction market trade logs to determine if a strategy has a statistically significant, fee-adjusted edge using out-of-sample holdout, returning a signed verdict.
    36 npm
    MIT
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    C
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    Enables AI assistants to run local, model-backed decisions on short passages and routing choices, and to check whether exactly supplied text supports a scientific claim, returning the full probability distribution, review-policy status, and provenance details. All evaluation stays on the local machine with no cloud inference, and flagged results are surfaced for human review rather than treated as conclusions.
    MIT
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    Enables LLMs to interact with the Blocksworld Simulation to perform block manipulation actions, query real-time state, and verify multi-step plans. It bridges the Model Context Protocol with the simulation's REST API for AI planning research and agent development.
    MIT
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    Enables querying 29,500+ World Bank development indicators for 200+ countries across 60+ years via MCP, with 7 tools for browsing topics, sources, countries, and indicators.
    384 npm
    3
    Apache 2.0