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134,441 tools. Last updated 2026-05-23 15:20

"Analyzing Football Statistics and Strategies" matching MCP tools:

  • Analyze SAP OData query execution patterns to identify bottlenecks and recommend performance improvements. Optimizes query speed, bandwidth usage, and caching strategies based on execution statistics.
    MIT
  • Retrieve college football play statistics from the College Football Data API. Filter data by year, week, team, game, athlete, or conference to analyze performance metrics.
    MIT
  • Get analysis guidance for EU regulations like GDPR, DORA, and AI Act. Discover delegated acts, proportionality tiers, common pitfalls, cross-regulation pointers, and methodology hints before analyzing regulations.
    Apache 2.0
  • Retrieve U.S. transportation statistics including airline performance, traffic data, and transport metrics from the Bureau of Transportation Statistics.
  • Access football match data from German leagues via OpenLigaDB API. Retrieve structured results with quality scoring and source verification for reliable sports information.
  • Access German and European football data including match results, standings, and team information from OpenLigaDB. Retrieve Bundesliga, 2. Bundesliga, DFB Pokal, Champions League, and other league statistics without requiring an API key.

Matching MCP Servers

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    Provides real-time access to football (soccer) data including fixtures, standings, teams, players, transfers, and injuries through the API-Football service via the Model Context Protocol.
    Last updated
    3

Matching MCP Connectors

  • Football-Data.org MCP — soccer competitions, matches, standings

  • Access European statistics: GDP, unemployment, inflation, population data.

  • Retrieve Australian Football League data from Squiggle API, including teams, games, and tips, with quality metrics and source verification for data integrity.
  • Get a comprehensive specification of the content file format for any language or platform, covering file structure, JSON formats, markdown conventions, meta files, and locale strategies.
    MIT
  • Analyze external links from a domain or URL to understand linking strategies, identify partnership opportunities, and audit outbound link profiles with target URLs, anchor text, and link attributes.
    MIT
  • Get ecosystem statistics covering 1,551 services across x402, MPP, and Lightning protocols.
    MIT
  • Generate optimal DFS lineups using linear programming for NBA, NFL, MLB, or NHL. Apply cash game, tournament, or balanced strategies with player constraints and stacking preferences to maximize projected points within salary caps.
    MIT
  • Access endpoints for on-chain DEX and pool analytics to analyze liquidity, trading pairs, OHLCV data, trader statistics, and trading activity across multiple networks and protocols. Gain insights into decentralized exchange ecosystems and trading metrics.
    MIT
  • Retrieve detailed time-series data from Strava activities for analyzing workout metrics, visualizing routes, and performing activity analysis with flexible resolution and format options.
    MIT