digikala-mcp vs python-sdk
digikala-mcp: Digikala MCP is a public server that grants AI agents access to real-time Digikala e-commerce data, encompassing product search, prices, discounts, ratings, and reviews. It provides 16 specialized, read-only tools via a stateless, streamable HTTP endpoint, requiring no API key for access.; 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
AI agents searching for specific products or categories with advanced filters and sorting.
- 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.
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