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football-docs MCP Server

withqwerty/football-docs

Score: 53.4 Rank #12452 MCP Server
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Searchable football data provider documentation for AI coding agents. Like Context7 for football data.

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Overview

withqwerty/football-docs is a TypeScript tool. Searchable football data provider documentation for AI coding agents. Like Context7 for football data. Topics: agent-skills, claude-code, football-analytics, football-data, mcp, mcp-server, model-context-protocol, opta, statsbomb, xg.

Ranked #12452 out of 24846 indexed tools.

Ecosystem

TypeScript No license
agent-skillsclaude-codefootball-analyticsfootball-datamcpmcp-servermodel-context-protocoloptastatsbombxg

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 194

194 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/7 issues closed → many open issues

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 22
Description Good
License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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License low impact

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Freshness high impact

Last commit was 33 days ago — a recent commit would boost your freshness score

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Matched Queries

topic:mcptopic:mcp-servertopic:model-context-protocol

From the README

# football-docs

Searchable football data provider and tooling documentation for AI coding agents. Like [Context7](https://context7.com) for football data.

**Who it's for:** Developers and analysts who use AI coding tools (Claude Code, Cursor, VS Code Copilot) to work with football data. Works with any tool that supports MCP.

**What it does:** Gives your AI agent a searchable index of documentation for 30 football data providers and tools — event types, qualifier IDs, coordinate systems, API endpoints, data models, identity surfaces, and cross-provider comparisons for the data providers (StatsBomb, Opta, Wyscout, Impect, SkillCorner, Sportradar, TheSportsDB, FMDB Pro, TransferRoom, and more), the open-source libraries people build with (kloppy, mplsoccer, socceraction, soccerdata, floodlight, fast-forward, unravelsports, and more), and the APIs of wearable and sports-science vendors (STATSports, Firstbeat, Hawkin Dynamics, VALD). Your agent looks up the real docs instead of guessing 
Read full README on GitHub →

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