[HN Gopher] Show HN: Mcp-Agent - Build effective agents with Mod...
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Show HN: 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 prompts.
mcp-agent provides a higher level interface to build apps with MCP.
It handles the connection management of MCP servers so you don't
have to. It also implements the Building Effective Agents patterns:
- Augmented LLM (an LLM with access to one or more MCP servers) -
Router, Orchestrator-Worker, Evaluator-Optimizer, and more - Swarm
The key design principles are composability and reusability - every
pattern is an AugmentedLLM itself, so you can chain them into more
complex workflows. Some background: I worked on LSP [5] and
language servers at Microsoft, and saw firsthand how standards and
protocols can revolutionize developer workflows. Before LSP every
IDE had its own esoteric ways of providing language services. LSP
changed all that, and arguably made every language server better,
since they can focus on improving a single implementation for all
clients. I think AI development is in a similar pre-LSP space
right now. There are tons of frameworks [6], every model provider
has its own way of handling messages, tool calls, streaming, etc. I
really think we need a protocol to standardize these patterns.
Pretty soon every service is going to expose an MCP interface, and
mcp-agent is about letting developers orchestrate these services
into applications (i.e. build "MCP apps"). This can cover any use
of an AI model that needs to interact with the world around it: -
RAG pipelines and Q&A chatbots - Process automation via AI
workflows/async tasks - Multi-agent orchestration, with human in
the loop The repo contains examples [7] to build RAG agents,
streamlit apps and more. There's a lot left to build, like
streaming support, server auth and tighter integration with MCP
clients. But I wanted to share early in the hopes that you can
guide me: - If you find this useful, please let me know. If it's
useful to you, I will dedicate all my time to improving it. - I
really welcome contributions. If you want to collaborate, please
reach out on github to help take this forward. I want to help
standardize AI development, so developers a few years from now can
look back with horror at the pre-MCP days. [1] -
https://github.com/lastmile-ai/mcp-agent [2] -
https://modelcontextprotocol.io/introduction [3] -
https://www.anthropic.com/research/building-effective-agents [4] -
https://github.com/openai/swarm [5] -
https://microsoft.github.io/language-server-protocol/ [6] -
https://xkcd.com/927/ (I understand the irony) [7] -
https://github.com/lastmile-ai/mcp-agent/tree/main/examples
Author : saqadri
Score : 40 points
Date : 2025-01-29 16:26 UTC (6 hours ago)
(HTM) web link (github.com)
(TXT) w3m dump (github.com)
| saqadri wrote:
| Please let me know if you have any questions - I'll be monitoring
| the post today and would love to discuss!
| sparacha wrote:
| OP - congrats on this launch! I think there are a lot of useful
| bits here, especially the communication abstractions for MCP and
| having clear recipes to implement patterns mentioned by Anthropic
| team is a big plus.
| shrisukhani wrote:
| this is neat - congrats!
| exclipy wrote:
| This looks very nice, and obviously needed in hindsight.
|
| I would love to see a Typescript/node port of this.
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