python-sdk vs icuvisor
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.; icuvisor: icuvisor is an open-source, local-first server enabling AI assistants to securely access and interact with training data from intervals.icu. It simplifies fitness data analysis and planning by providing structured responses and ensuring local API key management.
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.
Allowing AI assistants (Claude, ChatGPT, Cursor) to talk to your intervals.icu training data.
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