python-sdk vs StitchAPI
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.; StitchAPI: StitchAPI transforms any API endpoint into a typed, resilient, and callable local function, abstracting away complexities like authentication, retries, and rate limiting. It provides a unified definition that can be invoked by code, CLI, or AI agents, ensuring structured and validated results without requiring servers, code generation, or extensive configuration.
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.
Simplify API integration by reducing boilerplate for API call logic and centralizing concerns like auth and retries.
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