Command Palette

Search for a command to run...

UnylyUnyly
Browse all

Sports Server

FreeNot checked

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

GitHubEmbed

About

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

README

A Model Context Protocol server that exposes a read-only SQLite database of real NBA game data to LLM clients (Claude Desktop, etc.), enabling safe natural-language querying of the data.

The dataset is FiveThirtyEight's historical NBA Elo dataset: 63,157 games across 69 seasons (1947–2015). npm run seed downloads it and loads it into a clean relational schema.

What it does

The server registers two tools that an LLM can call:

Tool Description
list_schema Returns every table with its columns and types, so the model learns the data shape before querying.
run_query Executes a single read-only SELECT and returns the rows as JSON.

Safety: read-only guardrails

run_query validates every statement before execution and rejects:

  • anything that isn't a SELECT / WITH query,
  • write & DDL keywords (INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, …),
  • multiple chained statements (SQL-injection style ; DROP …).

As a second line of defense, the database itself is opened in readonly mode.

Data model

Two tables derived from the source dataset (the raw CSV stores two rows per game — one per team — which the seed collapses into one clean row per game):

teams(id, franchise)                          -- e.g. ('LAL', 'Lakers')
games(id, season, game_date, is_playoffs, neutral,
      home_team_id → teams, away_team_id → teams,
      home_score, away_score)

Setup

npm install
npm run build      # compile TypeScript -> dist/
npm run seed       # download the real dataset + populate sports.db (~18 MB download, cached)

Use with Claude Desktop

Add this to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS), then restart Claude Desktop:

{
  "mcpServers": {
    "sports-stats": {
      "command": "node",
      "args": ["/Users/mayanknayak/Desktop/Personal Projects/mcp-sports-server/dist/index.js"]
    }
  }
}

You'll see a tools icon appear. Now ask natural-language questions:

  • "Which franchise won the most games in the 1996 season?"
  • "Show the 5 highest-scoring games of all time."
  • "What's the Lakers' all-time playoff win percentage?"
  • "Which team had the biggest average margin of victory in the 1980s?"

Claude will call list_schema, then write and run a SELECT via run_query.

Smoke test (no Claude Desktop needed)

node test-client.mjs

Spins up the server over stdio and verifies tool discovery, schema introspection, a real aggregate query, and that a DELETE is blocked by the guard.

Stack

TypeScript · @modelcontextprotocol/sdk · better-sqlite3 · zod

from github.com/mayank-nayak/mcp-sports-server

Installing Sports Server

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/mayank-nayak/mcp-sports-server

FAQ

Is Sports Server MCP free?

Yes, Sports Server MCP is free — one-click install via Unyly at no cost.

Does Sports Server need an API key?

No, Sports Server runs without API keys or environment variables.

Is Sports Server hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Sports Server in Claude Desktop, Claude Code or Cursor?

Open Sports Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

Related MCPs

Compare Sports Server with

Not sure what to pick?

Find your stack in 60 seconds

Author?

Embed badge for your README

Browse similar

All data MCPs