python-sdk vs postman-mcp-server
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.; postman-mcp-server: The Postman MCP Server connects Postman to AI tools, enabling AI agents to manage collections, environments, workspaces, and automate API workflows via natural language. It offers remote (hosted by Postman) and local (STDIO) servers with three tool configurations: Minimal, Full, and Code. Supports OAuth for remote US server and API key for others.
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.
API Testing - Continuously test your API using your Postman collection
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