"A server for visualizing a knowledge database as markdown files" matching MCP servers:

Enables natural language querying of a football knowledge graph via Neo4j, generating Cypher queries and answers using LLMs, and also provides tools to build the graph from text.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

Four utilities in one server: PDF text, ruled tables and OCR from a URL as pages, documents or RAG chunks; YouTube thumbnail URLs and files with per-size availability; sports scores, schedules and standings across 33 leagues; and ATP/WTA tennis with per-set scores and draws.

MCP server that gives Claude programmatic access to a local En Croissant chess opening trainer, enabling conversational opening prep by reading its SQLite database, PGN files, and Lichess API. It supports repertoire review, due cards, and opponent statistics directly from chat.

Enables an LLM to query roughly four million OpenPowerlifting meet results stored in Parquet and read through DuckDB, so users can search lifters by name, pull every meet and attempt for a lifter, rank a total as a percentile within a filtered field, and compare career bests across lifters.

Real-time tennis data for ATP, WTA, Challenger and ITF: live scores, player rankings, match-winner odds, and model win-probability. 12 read-only tools; a tier-gated endpoint returns a plain-English explanation of which plan it needs rather than a bare 403. Requires a paid API key.

Enables MCP clients to read a user's own Rouvy activities, including summaries and per-second data for splits, selected time-window analysis, and downsampled streams; optionally exports FIT or CSV files when configured.

Enables Claude to query live MLB Stats API data and local KBO CSV files for player and team statistics, leaderboards, standings, and player lookup. Computes sabermetrics server-side — FIP, K-BB%, LOB%, ISO, BABIP, pitcher luck checks, and Pythagorean win expectations — for both leagues on a common basis, returning markdown or JSON.

Enables Claude to explore a Brazilian Jiu-Jitsu knowledge graph, searching positions, transitions, submissions, systems and principles, and retrieving detailed routes, execution steps, counters and defensive options.

Turns your own wearable data into coaching for hybrid fitness races by exposing readiness, running coach plans, fitness trends and training summaries as tools an agent can query. Keeps your data read-only at the provider and lets you log the station work and race profile your watch can't see in a local database.

Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.

Provides structured access to a World Cup SQLite database via MCP tools, enabling queries for tournaments, team histories, head-to-head matches, and player records.

Enables querying volleyball match, team, and tournament data from VolleyballWorld API through SQL queries on a SQLite database.

MCP server for Valorant esports analytics that exposes structured metrics and database query tools, enabling AI-assisted match analysis, player profiling, scouting reports, and coaching insights.

Enables AI agents to search and analyze Japanese horse-racing data in a PostgreSQL database, including races, entries, odds, jockeys, trainers, pedigrees, training, and predictive metrics. Also provides forecasting knowledge resources and safe read-only custom SQL querying for deeper analysis.

Enables natural-language querying of historical NBA game data from a read-only SQLite database.

Enables searching golf courses for free and retrieving premium data such as scorecards, GPS mappings, course details, and green slope images via a credit-based API with explicit spend confirmation.

Enables AI agents to query real-time and historical Formula 1 data, including Grand Prix meetings, sessions (races, qualifying, practice), drivers, and lap times or telemetry, with support for filtering by year, country, session, and driver. Can be used via the Pipeworx gateway or as a local stdio server.

Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.

Provides access to a cited knowledge graph on football's Laws of the Game and major competitions, with tools for search, question answering, and entity exploration, returning claims with sources and confidence.

An MCP server that provides access to over 12 years of NFL play-by-play data through a local DuckDB database. It enables users to query player performance, team statistics, and situational efficiency metrics like EPA and WPA using natural language.

Provides 28 MCP tools to query KBO baseball data, including player stats, pitch arsenal, zone charts, usage patterns, and trend reports using a SQLite database.

Enables AI agents to access a ProTrainUp club account through its undocumented API and web panel, exposing read-only tools for calendars, motoric tests, exercises, conversations, team-wall posts, scheduled posts, event lists, and diary files. It also supports authenticated GET exploration without performing write operations.

Enables a language model to query a sports club's Webling member database read-only — members, teams, fees, anniversaries, statistics and masked club documents — while every response is assembled from a field whitelist so only pseudonyms ever reach the model. Real names are substituted back on the way to the browser, and sensitive name lists stay in local files.

Enables interaction with the wger Workout Manager database to retrieve exercises, muscles, and equipment information.

Governed data pipeline for NBA ticketing and attendance data, exposing typed tools for AI agents to query game performance and seat-tier sales without direct database access.

Exposes Zwift training history stored in a local SQLite database to MCP clients and a REST API, enabling queries for activities, power curves, race results, and training load.

Enables querying K League official data (rankings, matches, players) via SQL using natural language, with a pre-built SQLite database.

Enables access to and analysis of a curated historical football database covering 37,000 matches across European competitions, with tools for team/player search, match details, form, head-to-head, comparisons, and match prediction.

An MCP server that enables natural language querying of over 10 million ball-by-ball cricket deliveries stored in a local DuckDB database. It provides 26 tools for analyzing player matchups, situational stats, and historical records across all major cricket formats and tournaments.