block · angiejones · Feb 21, 2025 · Feb 21, 2025 · Feb 21, 2025 · Feb 21, 2025
diff --git a/documentation/blog/2025-02-21-gooseteam-mcp/gooseteam-mcp.png b/documentation/blog/2025-02-21-gooseteam-mcp/gooseteam-mcp.png
diff --git a/documentation/blog/2025-02-21-gooseteam-mcp/index.md b/documentation/blog/2025-02-21-gooseteam-mcp/index.md
@@ -0,0 +1,43 @@
+---
+title: Let A Team of AI Agents Do It For You
+description: Community Spotlight on Cliff Hall's Goose MCP server.
+authors: 
+    - tania
+---
+
+![blog banner](gooseteam-mcp.png)
+
+During our [previous livestream](https://youtu.be/9tq-QUnE29U), Aaron Goldsmith, Infrastructure Operations Engineer at Cash App, showed a team of Goose AI agents collaborating in real time to create a landing page. Our community loved it so much, it inspired a top contributor to iterate on that protocol into our first Goose MCP server.
+
+<!--truncate-->
+
+## The Original Protocol
+
+Aaron Goldsmith's made a Goose AI agent team a reality with his [Agent Communication Protocol](https://gist.github.com/AaronGoldsmith/114c439ae67e4f4c47cc33e829c82fac). With it, each Goose agent enters the chat, gets assigned a role (e.g. Project Coordinator, Researcher, Web Developer), and works on its part of a given task. This protocol is a Python-based websocket server with text/markdown instructions guiding how the agents should talk and behave, allowing multiple Goose agents to collaborate. 
+
+## GooseTeam MCP Server
+
+Introducing [GooseTeam](https://github.com/cliffhall/GooseTeam/tree/main/p1), created by Software Architect and top contributor in our community, Cliff Hall. GooseTeam takes Aaron's protocol and iterates on it into an MCP server and collaboration protocol for Goose Agents. With features like task management, message storage, and agent waiting, you can have an entire team of Goose agents work together on a task or project for you.
+
+A Goose agent with the Project Coordinator role will assign roles to other agents, your connected agents will send messages that can retrieved at any time, and your team of agents will connect to the same MCP server to collaborate together. You can even have your agents wait a specified period before taking their next action, empowering you to use Goose to make the best use of Goose work for you.
+
+## A New Way to Goose
+
+Working with a team of AI agents on a task is a game changer. Instead of getting confused as to how to improve your prompt engineering on your own or work across sessions manually, tools like Cliff's GooseTeam or Aaron's Agent Communication Protocol help us make sure AI agents like Goose are doing the work for us as efficiently as possible. The possibilities feel endless!
+
+## Get Your Contribution Featured
+Hopefully this contribution inspired you as much as it inspired our community. If you have a Goose contribution or project you'd like to share with our community, join our [Discord](https://discord.gg/block-opensource) and share your work in the** #share-what-you-do** channel. You may just be featured on our livestream or get a cool prize. 👀 You can also star Goose on GitHub or follow us on social media so you never miss an update from us. Until next time!
+
+
+<head>
+  <meta property="og:title" content="Let A Team of AI Agents Do It For You" />
+  <meta property="og:type" content="article" />
+  <meta property="og:url" content="https://block.github.io/goose/blog/2025/02/17/gooseteam-mcp" />
+  <meta property="og:description" content="Community Spotlight on Cliff Hall's Goose MCP server." />
+  <meta property="og:image" content="https://block.github.io/goose/assets/images/gooseteam-mcp.png" />
+  <meta name="twitter:card" content="summary_large_image" />
+  <meta property="twitter:domain" content="block.github.io/goose" />
+  <meta name="twitter:title" content="Let A Team of AI Agents Do It For You" />
+  <meta name="twitter:description" content="Community Spotlight on Cliff Hall's Goose MCP server." />
+  <meta name="twitter:image" content="https://block.github.io/goose/assets/images/gooseteam-mcp.png" />
+</head>