Skip to main content

MCP server for NFL play-by-play data (nflverse, 2013-2025)

Project description

nfl-mcp

MCP server for NFL data (2013–2025), powered by nflreadpy and DuckDB. Query play-by-play, rosters, injuries, stats, and more using natural language in Claude Code, VS Code, or Claude Desktop.

Ask Claude questions like:

  • "Who had the best EPA per play in 2024?"
  • "Show me Patrick Mahomes' completion % over expected by season"
  • "Compare 4th quarter red zone efficiency for KC vs PHI in 2023"
  • "Which defenses had the highest sack rate in 3rd & long situations?"
  • "Who was on IR for the Eagles in Week 10, 2023?"
  • "Show me snap count trends for the Chiefs receiving corps in 2024"

Quickstart

pip install nfl-mcp        # or: uvx nfl-mcp
nfl-mcp init               # configure, load data, and start the server

init walks you through setup and offers to start the server immediately when done. No database server to install. No credentials to manage. Data is stored locally in DuckDB.

Prerequisites

  • Python 3.10+
  • uv (recommended) or pip

Setup

1. Initialize

nfl-mcp init

The wizard will:

  1. Configure the local DuckDB database path
  2. Download the default NFL datasets (play-by-play, rosters, stats, injuries, and more)
  3. Auto-configure your IDE (Claude Desktop and/or VS Code)
  4. Offer to start the server immediately

Options:

--skip-ingest       Configure without loading data

2. Start the server

init offers to start the server for you. If you need to start it manually later:

nfl-mcp serve
nfl-mcp serve --port 9000
nfl-mcp serve --host 0.0.0.0

The server uses the MCP Streamable HTTP transport. Point any MCP client at http://<host>:<port>/mcp.

Note: The server must be running for your IDE to connect. Run nfl-mcp serve in a terminal and keep it open.

3. Verify

nfl-mcp doctor

Checks database connectivity, loaded data, and IDE configuration.

4. Manual client configuration (optional)

If you skipped IDE setup during init, or need to reconfigure:

nfl-mcp setup-client                    # auto-detect clients
nfl-mcp setup-client --client vscode    # VS Code only
nfl-mcp setup-client --client claude-desktop

Or configure manually. Add to .vscode/mcp.json (VS Code):

{
  "servers": {
    "nfl": {
      "url": "http://localhost:8000/mcp"
    }
  }
}

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (Claude Desktop):

{
  "mcpServers": {
    "nfl": {
      "url": "http://localhost:8000/mcp"
    }
  }
}

CLI Reference

nfl-mcp init               Interactive setup wizard
nfl-mcp serve              Start the MCP server (Streamable HTTP, default port 8000)
nfl-mcp ingest             Load NFL data into the database
nfl-mcp setup-client       Configure IDE MCP clients
nfl-mcp doctor             Health check

Serve options

nfl-mcp serve
nfl-mcp serve --port 9000
nfl-mcp serve --host 0.0.0.0

Ingestion options

nfl-mcp ingest                          # default datasets, all available seasons
nfl-mcp ingest --dataset all            # every dataset
nfl-mcp ingest --dataset schedules      # one specific dataset
nfl-mcp ingest --dataset pbp --dataset injuries   # multiple datasets
nfl-mcp ingest --start 2020 --end 2024  # limit to a season range
nfl-mcp ingest --fresh                  # re-ingest even if already loaded
nfl-mcp ingest --list                   # show all available dataset names

Ingest is idempotent — re-running skips datasets and seasons already in the database.

Datasets

All data is sourced from nflverse via nflreadpy and stored locally in DuckDB.

Table Default Coverage
plays 1999–present
schedules 1999–present
rosters 1920–present
player_stats 1999–present
team_stats_raw 1999–present
injuries 2009–present
snap_counts 2012–present
teams current
players all-time
contracts historical
trades historical
depth_charts 2001–present
rosters_weekly 2002–present
ff_opportunity 2006–present
officials 2015–present
nextgen_stats_* 2016–present
participation 2016–2024
pfr_advstats_* 2018–present
ftn_charting 2022–present
draft_picks 1980–present
combine all-time
ff_playerids current
ff_rankings_draft current
ff_rankings_week current
nfl-mcp ingest --dataset all   # load everything
nfl-mcp ingest --list          # see all dataset names

MCP Tools

Tool Description
nfl_schema Database schema reference — compact summary by default, pass category for detail
nfl_status Database health: total plays, loaded seasons, available tables
nfl_query Raw SQL SELECT for custom queries (500 row cap, 10s timeout)
nfl_search_plays Find plays by player, team, season, season type, situation, touchdowns, etc.
nfl_team_stats Pre-aggregated team offense, defense, and situational stats
nfl_player_stats Player stats by season and season type — passing, rushing, or receiving
nfl_compare Side-by-side comparison of two teams or two players
nfl_schedule Game schedule and results — scores, spread, weather, coaches
nfl_roster Team roster by season and position
nfl_injuries Player injury report status by team, week, and designation
nfl_snap_counts Offensive, defensive, and special teams snap counts per player
nfl_fantasy_opportunity Target share, air yards share, carry share per player per week (2006–present, requires ff_opportunity dataset)
nfl_catalog List all loaded tables with row counts and last refresh time

Key columns in plays

  • epa — expected points added (the best single-play quality metric)
  • wpa — win probability added
  • posteam / defteam — offensive/defensive team abbreviations
  • passer_player_name / rusher_player_name / receiver_player_name
  • play_type'pass' | 'run' | 'field_goal' | 'punt' | 'kickoff' | ...
  • desc — raw play description (use ILIKE for text search)

Local Development

git clone https://github.com/ebhattad/nfl-mcp
cd nfl-mcp
pip install -e ".[dev]"

nfl-mcp ingest --dataset all --start 2024 --end 2024
nfl-mcp serve   # server available at http://localhost:8000/mcp
pytest
pytest -m unit     # unit tests
pytest -m integration  # integration tests (requires loaded DB)

Troubleshooting

  • nfl-mcp doctor is the fastest way to verify config, database, and client setup.
  • If tools return database errors, run nfl-mcp ingest to ensure data is loaded.
  • You can override the DB location with NFL_MCP_DB_PATH=/path/to/nflread.duckdb.
  • Re-running nfl-mcp ingest is safe — it skips anything already loaded.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nfl_mcp-0.1.2.tar.gz (56.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nfl_mcp-0.1.2-py3-none-any.whl (36.0 kB view details)

Uploaded Python 3

File details

Details for the file nfl_mcp-0.1.2.tar.gz.

File metadata

  • Download URL: nfl_mcp-0.1.2.tar.gz
  • Upload date:
  • Size: 56.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for nfl_mcp-0.1.2.tar.gz
Algorithm Hash digest
SHA256 d773727ffd04f226d77eded991420004a6791b3bdee360d1d3011ff33aa62eb7
MD5 7364c3e9f24962ad51cd250e5e959232
BLAKE2b-256 e06f9e420b45de9a5e5ad40d11ff0e37febe9bb4327e74d892beb584390304a0

See more details on using hashes here.

Provenance

The following attestation bundles were made for nfl_mcp-0.1.2.tar.gz:

Publisher: publish.yml on ebhattad/nfl-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nfl_mcp-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: nfl_mcp-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 36.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for nfl_mcp-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6e11a4111c6c39cdb0d29fb674e614fe183c78c31f55d2dcf1e977b04f72f4ba
MD5 cdaaec20af20dda1efeb5fcf79b792b4
BLAKE2b-256 41d2a82d4a6f9f19822a6e218faa02cb26b1e7c36da35497d00034780dc74d33

See more details on using hashes here.

Provenance

The following attestation bundles were made for nfl_mcp-0.1.2-py3-none-any.whl:

Publisher: publish.yml on ebhattad/nfl-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page