2 Frameworks to Build MCP AI Agents amzn.to/46cWAlQ MCP (Model Context Protocol) enables AI agents to interact with tools, memory, and APIs via structured formats. Here are some frameworks that help developers build such agents are as follows: 1 - Open AI SDK: Enables building agentic AI apps with built-in support for MCP. 2 - Composio: SDK to integrate OpenAI agents with Composio-managed MCP-compatible servers and workflows. 3 - MCP Python SDK: Official Python SDK to implement servers that conform to the MCP specification. 4 - LastMile MCP Agent: A workflow-driven framework for creating MCP-compliant agents with task coordination logic. 5 - MCP TypeScript SDK: TypeScript toolkit to build MCP-compatible servers based on the official schema. 6 - Google ADK: Google’s open-source Agent Development Kit with native support for MCP servers. 7 - Langchain MCP Adapter: A lightweight wrapper that connects LangChain/LangGraph with MCP-based toolchains. 8 - CopilotKit MCP Support: Enables frontend apps to talk directly to any compliant MCP server with built-in integration support. 9 - Strands Agents: Model-driven SDK to design, deploy, and orchestrate MCP-based agents with typed schemas. 10 - Semantic Kernel: Microsoft’s orchestration SDK that integrates tools and AI agents in serverless environments. 11 - Vercel AI SDK: Client SDK that supports MCP to connect apps to tools and AI agents in serverless environments. 12 - Praison AI: Python-based multi-agent framework designed to build and run MCP-aligned agents and servers. Over to you: Which other framework will you add to the list?
@Python_Dv I'm building with Google's Agent Development Kit (ADK) here - youtube.com/watch?v=-mlL8y…
@Python_Dv Great list of frameworks for building MCP AI agents! The variety of tools, from OpenAI SDK to Langchain MCP Adapter, offers a lot of flexibility. Curious to see what other frameworks emerge as this space evolves. What’s your go-to framework for MCP integration?
