balldontlie-mcp vs memory

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

	balldontlie-mcp by mikechao	memory by modelcontextprotocol
Stars	★ 23	★ 85,748
30d uses	—	—
Score	43	77
Official	—	✓
Categories	AI / LLM ToolsOther	Knowledge GraphAI / 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.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

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

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

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

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

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