MCP-F1analisys vs fetch

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

	MCP-F1analisys by Maxbleu	fetch by modelcontextprotocol
Stars	★ 0	★ 85,748
30d uses	—	—
Score	32	76
Official	—	✓
Categories	AI / LLM ToolsOther	Web ScrapingAI / LLM ToolsProductivity
Language	Python	TypeScript
Last commit	6 mo ago	this month

An MCP server providing Formula 1 racing analysis tools through the Model Context Protocol.

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

Analyze F1 race performance metrics and comparisons
Generate insights about team and driver performance across sessions
Create visual representations of race position evolution and lap time distribution

Install the package using pip:

pip install mcp-f1analisys

Configure Claude Desktop by adding this to your configuration file:

{
  "mcpServers": {
    "mcp-f1analisys": {
      "command": "python",
      "args": [ "-m", "mcp-f1analisys" ]
    }
  }
}

For development testing:

mcp dev .\server.py

**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

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

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