python-sdk vs pagespeed-insights-mcp
python-sdk: The MCP Python SDK provides a robust implementation of the Model Context Protocol, enabling developers to build secure, standardized servers that expose data and functionality to LLM applications. It also includes a client library for connecting to any MCP server, supporting various standard transports like stdio, Streamable HTTP, and SSE.; pagespeed-insights-mcp: This is a 17-tool Multi-Compatible Protocol (MCP) server for Google PageSpeed Insights and Chrome UX Report APIs, designed to help developers analyze, compare, and optimize web performance. It integrates with AI clients like Claude and Cursor, providing comprehensive web performance audits and actionable recommendations.
TL;DR
- You want the official, MIT-licensed reference Python SDK maintained directly by the Model Context Protocol project.
- You need full low-level control over MCP primitives (resources, prompts, tools, sampling) and standard transports (stdio, SSE, Streamable HTTP).
- You want higher-level conveniences like automatic client composition or less decorator boilerplate; FastMCP wraps the protocol with extra ergonomics.
- You are exposing an existing GraphQL or FastAPI backend where a gateway or adapter (Grafbase or FastAPI-MCP) requires no manual tool code.
Analyzing overall web page performance for different devices (mobile, desktop).
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