cfbd-mcp-server vs filesystem

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

	cfbd-mcp-server by lenwood	filesystem by modelcontextprotocol
Stars	★ 26	★ 85,748
30d uses	—	—
Score	38	77
Official	—	✓
Categories	AI / LLM ToolssportsDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	13 mo ago	this month

cfbd-mcp-server · Summary

CFBD MCP server provides college football statistics API access within Claude Desktop.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

cfbd-mcp-server · Use cases

Analyzing college football team performance and statistics
Accessing real-time game results and scores
Generating insights from historical game data

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

cfbd-mcp-server · Install

Installing via Smithery

To install College Football Data Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/cfbd):

npx -y @smithery/cli install cfbd --client claude

Manual Installation

Clone this repository:

git clone https://github.com/yourusername/cfbd-mcp-server
cd cfbd-mcp-server

Create and activate a virtual environment:

uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

Install dependencies:

uv pip install -e .

Create a .env file in the project root and add your API key:

CFB_API_KEY=your_api_key_here

Claude Desktop Configuration

Open your Claude Desktop configuration at:

- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json - Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the server configuration:

{
    "mcpServers": {
        "cfbd-mcp-server": {
            "command": "uv",
            "args": [
                "--directory",
                "/full/path/to/cfbd-mcp-server",
                "run",
                "cfbd-mcp-server"
            ],
            "env": {
                "CFB_API_KEY": "xxx",
                "PATH": "/full/path/to/python"
            }
        }
    }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

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