usp-mcp vs python-sdk
usp-mcp: usp-mcp is an unofficial project that connects AI assistants to USP academic systems, enabling natural language queries for cafeteria menus, e-Disciplinas content, and JupiterWeb course catalogs. It runs locally on the user's computer, ensuring data privacy, and integrates with any assistant that supports the Multi-tool Collaboration Protocol (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.
TL;DR
Students asking an AI assistant 'What's on the menu today at the physics cafeteria?'
- 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.
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