python-sdk vs apple-photos-mcp
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.; apple-photos-mcp: This server acts as a bridge between AI assistants and Apple Photos, allowing AI to query, search, export, and inspect the macOS Apple Photos library. It also offers opt-in tools for managing albums and metadata, all locally on your machine, backed by the osxphotos library.
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.
Allow AI assistants to query photos using natural language for specific criteria like dates, persons, or locations.
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