patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
Tsadoq/a2a-mcp-tutorial
This repository is a teaching resource rather than a library: a worked tutorial that builds a full agentic pipeline using two open protocols together. It first explains MCP, using Anthropic's framing of a standard connector — one well-defined interface that lets the same model reach GitHub, a Postgres database or a custom knowledge base without a bespoke integration each time — and describes how hosts, clients and servers exchange tools, resources and prompts. It then explains Google's Agent2Agent protocol, which addresses a different problem: letting autonomous agents built on different frameworks and hosted in different places discover and talk to one another, using an agent card that advertises what each agent can do, instead of brittle one-off bridges. The tutorial's value is in showing the division of labour that the two protocols imply — MCP for an agent reaching tools and data, A2A for agents reaching each other — and then implementing both sides in Python so the reader ends with a running pipeline rather than a diagram. The code is Python and organised to be followed in order. The audience is developers who have read the protocol specifications separately and want a concrete example of how they fit together in one system.
https://github.com/Tsadoq/a2a-mcp-tutorial
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