MCP Server in Python | Anthropic's Model Context Protocol (MCP) vs. Google's Agent2Agent (A2A)|Agent

Anthropic's Model Context Protocol (MCP) vs Google's Agent2Agent (A2A) 1️⃣ Model Context Protocol (MCP) – Model-Tool/Data Interaction. Its a secure, standardized way for AI models (or agents) to talk to external tools, APIs and data sources, in aggregate known as "MCP servers" 🔸 Supports models with external context (data files, databases, live data)🔸Allows models to act (update a record, send a message, etc.)🔸Works on a client-server paradigm—normalizing integration logic🔸Abolishes the custom plug-in per tool necessity🔸Boosts the potential of one AI system with access to the external world, think of it as the API layer your LLMs can always rely on. https://github.com/google/A2A 2️⃣ Agent-to-Agent (A2A) Protocols – Agent Interactions A2A is an open communication standard that enables cooperation among artificial intelligence agents regardless of their creators or the frameworks on which they operate. 🔸Enables coordination between numerous agents🔸Takes advantage of web-native technology (HTTP, JSON-RPC)🔸Enables cross-vendor, cross-platform collaboration🔸Opens up multi-agent ecosystems https://github.com/modelcontextprotocol ___________________________________________________________________________ 🔔 Get our Newsletter and Featured Articles: https://abonia1.github.io/newsletter/ 🔗 Linkedin: https://www.linkedin.com/in/aboniasojasingarayar/ 🔗 Find me on Github: https://github.com/Abonia1 🔗 Medium Articles: https://medium.com/@abonia #LLM #agent #MCP #A2A