balldontlie-mcp vs fetch

Side-by-side comparison to help you pick between these two MCP servers.

	balldontlie-mcp by mikechao	fetch by modelcontextprotocol
Stars	★ 23	★ 85,748
30d uses	—	—
Score	43	76
Official	—	✓
Categories	AI / LLM ToolsOther	Web ScrapingAI / LLM ToolsProductivity
Language	JavaScript	TypeScript
Last commit	2 mo ago	this month

balldontlie-mcp · Summary

MCP server providing NBA, NFL, and MLB player, team, and game data via Balldontlie API.

fetch · Summary

An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.

balldontlie-mcp · Use cases

Get today's basketball, football or baseball games and schedules
Search for specific players by name across major sports leagues
Generate interactive sports schedules for specific date ranges

fetch · Use cases

LLMs reading news articles and blogs
Content analysis of web pages
Retrieving information from public websites
Chunked reading of large web documents

balldontlie-mcp · Install

Installation

Getting an API Key

Sign up for account at [Balldontlie.io](https://www.balldontlie.io/)
The free plan is enough for this MCP Server

Installing via Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcp-servers": {
    "balldontlie": {
      "command": "npx",
      "args": [
        "-y",
        "balldontlie-mcp"
      ],
      "env": {
        "BALLDONTLIE_API_KEY": "YOUR API KEY HERE"
      }
    }
  }
}

Installing using Desktop Extension (DXT)

Download the dxt file from the [Releases](https://github.com/mikechao/balldontlie-mcp/releases)
Open it with Claude Desktop or go to File -> Settings -> Extensions and drag the .DXT file to the window to install it

Installing via Smithery

To install balldontlie-mcp for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@mikechao/balldontlie-mcp):

npx -y @smithery/cli install @mikechao/balldontlie-mcp --client claude

fetch · Install

Installation

**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:

uvx mcp-server-fetch

**Using PIP** Install via pip:

pip install mcp-server-fetch

Then run as:

python -m mcp_server_fetch

Claude Desktop Configuration

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.