python-sdk vs skills
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.; skills: Publora Skills offers a collection of nine skill files designed to enable AI agents like Claude Code, Codex, and Cursor to publish and schedule posts across ten major social networks. It streamlines social media management by providing a single integration point with the Publora MCP server, eliminating the need to manage multiple platform APIs.
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.
AI agents automatically drafting and scheduling social media content across multiple platforms.
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