MCP server

stat-api — Sports Data Official

com.stat-api/sports-data

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

NFL/NBA/MLB/NHL/PGA + DFS and prediction-market data. Browse free; query with a free API key.

Website Source

At a glance

Type

MCP server

Publisher

stat-api.com (verified by the MCP Registry)

Status

Working at last check

Tools

9

Token cost

About 1,484 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http sports-data https://api.stat-api.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.sports-data]
url = "https://api.stat-api.com/mcp"

Gemini CLI

{"mcpServers":{"sports-data":{"httpUrl":"https://api.stat-api.com/mcp"}}}

Cursor

{"mcpServers":{"sports-data":{"url":"https://api.stat-api.com/mcp"}}}

VS Code

{"servers":{"sports-data":{"type":"http","url":"https://api.stat-api.com/mcp"}}}

Antigravity

agy mcp add sports-data https://api.stat-api.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"sports-data","server_url":"https://api.stat-api.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"sports-data","server_url":"https://api.stat-api.com/mcp"}

Tools

• api_usage ~81 tokens
  Your account's quota position: plan, monthly record limit, records used, remaining, and when the quota resets. Requires a stat-api sign-in or API key; costs 1 record.
• describe_table ~171 tokens
  Full contract for one table: fields with types and descriptions, the filters query_table accepts (with operators like __gte/__lte/__between/__like and required filter combinations), page-size limits, primary key, and a runnable example URL. No credentials needed. Always call this before query_table
• games_on_date ~188 tokens
  Games scheduled/played on one calendar date (US-Eastern) for nba, mlb, or nhl; defaults to today. Returns the same envelope as query_table on the games table. NFL is week-based, not date-based — for nfl, use query_table on nfl/games with season_id + week filters instead. Requires a stat-api sign-in
• get_record ~132 tokens
  Fetch a single row by primary key. Returns the row object. Requires a stat-api sign-in or API key; costs 1 record of quota.
• graphql_query ~198 tokens
  Run a GraphQL query against the same data with relations — nest from a game to its teams/players/odds in one call. Root fields are leagues (nfl, nba, …), each exposing its tables with the same filter arguments as REST plus `first`/`after` pagination. Do NOT send introspection queries (the schema is
• list_leagues ~86 tokens
  List every league/data group this API serves (nfl, nba, mlb, nhl, pga, dfs, reference) with table counts and availability. No credentials needed. Start here, then call list_tables.
• list_tables ~103 tokens
  List every queryable table in one league with a one-line summary each. No credentials needed. Follow with describe_table before querying.
• query_table ~362 tokens
  Query any table. Returns `{"<table>": [rows], "limit": N, "next_from_id": M|null, "has_more": bool}`. To read every row, start with from_id=0 and re-call with from_id set to the previous next_from_id until it is null. A call without from_id returns the first page in the table's default sort with nex
• search_players ~163 tokens
  Fuzzy player-name search (typo-tolerant). Currently NBA only — for other leagues query the players table with a name filter via query_table. Returns player rows ordered by match quality. Requires a stat-api sign-in or API key; rows count against quota.

Browse

• Calendars
• Stocks and markets
• Sports

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