Mcp-Agent – Build effective agents with Model Context Protocol
Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…
Mcp-Agent – Build effective agents with Model Context Protocol launched on January 29, 2025 with 80 votes, #409 of 6,142 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Mcp-agent is a framework for building AI applications that use the Model Context Protocol, which provides a standardized way for AI systems to communicate with software through tool calls and resources. Developed by Lastmile AI, it simplifies connection management between MCP servers and implements established agent patterns from industry guidance. The tool is designed for developers building AI applications that need to integrate with multiple external systems and data sources.
written from the facts on this page · September 2026
From the sources
Build effective agents using Model Context Protocol and simple workflow patterns - lastmile-ai/mcp-agent
In the maker’s words, at launch
Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as…
Does a similar job
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Representing Agents as MCP Servers2025 · github.com · ▲58Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…

Building a Deep Research Agent Using MCP-Agent2025 · thealliance.ai · ▲91Learn how MCP-Agent powers Deep Research Agents with simple orchestration, external memory, and scalable workflows. Open-source on GitHub.
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