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evanatpizzarobot/draftcall-mcp

by Various

Hosted MCP server for NFL fantasy football data. Free, read-only, no API key. Endpoint: https://draftcall.io/mcp

MCP

evanatpizzarobot/draftcall-mcp

Added 8 Sept 2026

#ai #fantasy-football #llm #mcp #mcp-server #model-context-protocol #nfl #sports

Overview

A hosted Model Context Protocol (MCP) server that provides NFL fantasy football data. It is free to use, requires no API key, and offers read-only access to the data via the endpoint https://draftcall.io/mcp.

Best for

Best for
Developers building fantasy football tools or AI assistants that need quick, free access to NFL data.

Use cases

  • Fetch player statistics and fantasy points for analysis
  • Retrieve rankings or projections to inform draft decisions
  • Integrate live NFL data into a fantasy football assistant or dashboard

Notes

A hosted Model Context Protocol (MCP) server that provides NFL fantasy football data. It is free to use, requires no API key, and offers read-only access to the data via the endpoint https://draftcall.io/mcp.

0 stars on GitHub. Last updated 2026-08-25. Licensed MIT.

Use cases

  • Fetch player statistics and fantasy points for analysis
  • Retrieve rankings or projections to inform draft decisions
  • Integrate live NFL data into a fantasy football assistant or dashboard

Pros

  • Free and no API key required
  • Hosted, so no self-hosting or infrastructure setup
  • Simple MCP integration for AI agents and tools

Cons

  • Read-only, so no write or update capabilities
  • Limited to NFL fantasy data, not other sports or leagues
  • Project appears early-stage (0 stars) with no public usage or community validation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Free and no API key required
  • Hosted, so no self-hosting or infrastructure setup
  • Simple MCP integration for AI agents and tools

Cons

  • Read-only, so no write or update capabilities
  • Limited to NFL fantasy data, not other sports or leagues
  • Project appears early-stage (0 stars) with no public usage or community validation
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