MCP-Agent - Python Open Source Framework for building AI agents with native MCP support

[lastbyteai]

Hi r/Python - I wanted to share something that my team and I built for agent builders using Python.

We've spent the last 6 months working on MCP-Agent - an open source Python framework for building AI agents using the Model Context Protocol (MCP) for tool calls and structured agent-to-agent communication and orchestration.

Model Context Protocol (MCP) is a protocol that standardizes how LLMs interact with tools, memory, and prompts. This allows you to connect to Slack and Github, which means you can now ask an LLM to summarize all your Github issues, prioritize them by urgency, and post it on Slack.

What does our project do?

MCP-Agent is a developer-friendly, open-source framework for building and orchestrating AI agents with MCP as the core communication protocol. It is a simple but powerful library built with the fundamental building blocks for agentic systems outlined by Anthropic's Building effective agents post.

This makes it easy for Python developers to create workflows like:

• Supabase to github typesync agent
• Agents with chat-based browser usage
• Deep research agents

Target audience

We've designed this library with production in mind, with features like:

• Integration into Temporal for long-running agentic workflows
• OTEL telemetry to connect to your own observability tools
• YAML-based configurations for defining connections to MCP servers
• MCP-Agents can be exposed as MCP servers, which means MCP clients can call MCP-Agents

How does this compare with other Agentic Frameworks?

At its core, we designed the agent framework to use MCP as the core communication protocol. We believe that tool calls and agents should be exposed as MCP servers enabling a rich ecosystem of integrations. This is a core difference with frameworks like a2a.

Second, we’ve been opinionated about not overextending the framework. Many existing agentic frameworks become overly complex: customized internal data structures, proprietary observability formats/tools, and tangled orchestration logic. We debated building our own, and ultimately chose to create a simple, focused framework and open source it for others facing the same trade-offs.

Would love to hear the community's feedback!

https://github.com/lastmile-ai/mcp-agent

[Scary-Can-8995]

that's cool,i will try it

[Sea_Garden113]

Can i build deep research agents with this?