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Stathead MCP

Query NFL fantasy-football stats, projections, dynasty values, play-by-play, and prospect grades through MCP.

Install Stathead MCP

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "stathead-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "stathead-mcp"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Automated check passed— started and listed 55 tools correctly (Today).

Overview

The stathead-mcp MCP server exposes StatHead’s NFL fantasy-football analytics to Claude and other AI clients. It provides access to player statistics, play-by-play data, Next Gen Stats, projections, dynasty values, and prospect grades through 30 MCP tools. Run it with npx without cloning or building the repository, then ask an AI client to retrieve or compare supported football data. Reach for the stathead-mcp MCP server when an agent needs structured NFL fantasy analysis rather than general web search.

Use cases

  • Compare players’ weekly consistency by season
  • Rank dynasty players by StatHead value
  • Retrieve NFL play-by-play information
  • Review Next Gen Stats and projections
  • Evaluate prospect grades

Key features

  • 30 MCP tools for NFL analytics
  • Player and fantasy statistics
  • Play-by-play and Next Gen Stats
  • Dynasty values and projections
  • Prospect grades

Tools55

What Stathead MCP lets your agent do. Expand a tool for its parameters.

Verified live~28.1k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 3d ago

Recent health check succeeded.

7/7 checks healthy over the last 41d

What it can do

From the 55 tools this server returned when we ran it.

Can delete or modify data · 3Makes network requests · 2Read-only tools · 52
Network at startup3 connections
Files written at startupNone
Install scriptsNone
npm provenanceSigned build
Package age129 days
Maintainers1

Observed 2026-10-22 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 16d ago via OSV.dev · stathead-mcp (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars2Stargazers on the source repository.
npm downloads4.4kPackage downloads in the last 30 days.
Last commit3d agoMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Install checkPassedOur sandbox started it and listed its tools.
Tools exposed55Callable tools this server registers over MCP.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How Stathead MCP works

What stathead-mcp MCP server does

The stathead-mcp MCP server makes StatHead’s NFL fantasy-football analytics available to AI applications through the Model Context Protocol. The repository describes 30 tools covering several data areas: player and fantasy statistics, play-by-play information, Next Gen Stats, dynasty values, projections, and prospect grades.

StatHead also includes a web application, but the MCP package is intended for use inside an AI project. Example questions include comparing players’ weekly consistency in a season or ranking dynasty wide receivers by StatHead value while including their ages.

How it works

The server runs as a Node package through the command line. The documented launch command is:

Terminal
npx -y stathead-mcp

Claude Code can register it with claude mcp add stathead -- npx -y stathead-mcp. Claude Desktop can use an MCP server entry with npx as the command and -y stathead-mcp as its arguments.

The MCP server and the web application share the repository’s tool layer. That layer connects the application-facing tools to the underlying data access code, while the broader project includes TypeScript and Python components for data processing and machine-learning models. The project says its projection, dynasty-value, and prospect models were trained on more than 10 seasons of data.

Setup and configuration

No repository clone, local build, or environment variable is required for the documented npx setup. Add the command to an MCP client’s configuration, start the client, and send requests about the supported NFL datasets.

The repository also documents local development commands, including npm run mcp for running the server from source and npm run build:mcp for bundling it. Those commands apply to working from the source repository rather than the quickest package-based setup.

The code is MIT-licensed, but the data is subject to separate terms. StatHead combines open datasets, public APIs, community valuation sources, and derived features from paid scouting products. Before redistributing data, publishing a dataset, or shipping a commercial product based on it, review the project’s DATA_SOURCES.md and obtain data directly from original sources where required. The name may also conflict with Sports Reference’s Stathead trademark, according to the repository.

The stathead-mcp MCP server is therefore a fit for agent workflows that need football analysis through MCP, while data redistribution and licensing require separate review.

Reviews

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Frequently Asked Questions about Stathead MCP

stathead-mcp is an MCP server that connects AI clients to StatHead’s NFL fantasy-football analytics. Its 30 tools cover player statistics, play-by-play data, Next Gen Stats, projections, dynasty values, and prospect grades. It runs through npx and can be configured for Claude Code, Claude Desktop, or other MCP-compatible clients.

Run `npx -y stathead-mcp` to start it without cloning or building the repository. For Claude Code, use `claude mcp add stathead -- npx -y stathead-mcp`; Claude Desktop requires an MCP configuration entry using `npx` and the package arguments.

It provides NFL fantasy-football statistics, play-by-play data, Next Gen Stats, dynasty values, projections, and prospect grades through its documented MCP tools.

The code is MIT-licensed, but the data is not automatically covered by that license. StatHead uses sources with different terms, including open data, public APIs, community values, and derived paid-product features, so review `DATA_SOURCES.md` before commercial use or redistribution.

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