MLB Stats Server

The MLB Stats Server gives any AI agent direct, structured access to Major League Baseball data across three of the most widely used sources in the sport: Statcast, FanGraphs, and Baseball Reference. Instead of scraping box scores or hand-copying tables, agents can query pitch-level Statcast metrics (exit velocity, spin rate, launch angle), advanced FanGraphs sabermetrics (WAR, wRC+, FIP), and the deep historical record keeping of Baseball Reference — all through one consistent MCP interface rather than three separate scraping jobs or API integrations.

This server is built for teams working on baseball-adjacent products: fantasy baseball tools that need up-to-date player splits, sports betting and predictive-modeling projects that lean on Statcast granularity, sports media and content workflows that auto-generate recaps or player comparisons, and scouting or front-office analytics that blend modern sabermetrics with decades of historical performance. Because the underlying stats span from single-game logs to career-long trends, the same server supports both real-time-ish 'what happened this week' questions and long-horizon 'how does this compare to 1998' research.

When hosted through BusinessMCP, the MLB Stats Server isn't a standalone integration you manage on your own — it's connected once and exposed through your single unified MCP endpoint at /api/mcp, authenticated with your Bearer mcph_* key. That means the same Claude, GPT, or Gemini agent that pulls MLB Statcast and FanGraphs data can, in the same session, reach into your product database, ad platforms, or internal tools without you wiring up separate credentials or SDKs for each. BusinessMCP is model-agnostic by design, so whichever LLM your team or your customers standardize on, the baseball data layer behaves identically.

Beyond raw access, BusinessMCP's business-intelligence dashboard turns this server's traffic into something you can actually observe: which stat queries your agents run most, how MLB data usage trends alongside other connected sources, and where baseball analytics fits into your broader AI-agent activity. For teams already storing derived stats or historical snapshots in Postgres, BigQuery, Snowflake, or SQLite, pairing the MLB Stats Server with a hosted database MCP server lets agents cross-reference live baseball data against your own warehouse — for example, joining Statcast exit-velocity trends with an internal player-valuation table — without leaving the same MCP session or juggling multiple auth flows.

Because the connection is cookieless and GDPR-friendly like the rest of the BusinessMCP platform, this works cleanly whether the consuming agent is an internal analyst tool, a customer-facing fantasy sports assistant, or an automated content pipeline generating game recaps. You configure the MLB Stats Server once inside your BusinessMCP workspace, and every downstream agent — regardless of vendor — gets the same reliable path into Statcast, FanGraphs, and Baseball Reference data alongside whatever else you've unified on your hosted MCP server.