ext-apps vs python-sdk
ext-apps: MCP Apps enable developers to build interactive user interfaces like charts, forms, and dashboards for Model Context Protocol (MCP) tools. These UIs render directly within compliant chat clients such as Claude and ChatGPT, enhancing the conversational experience with dynamic visual elements.; 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
Visualizing complex data through interactive charts and dashboards.
- 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.
Side-by-Side Comparison
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