MCP-TEAMATE
About
MCP-TEAMATE is an AI agent communication server based on HTTPStream (replacing previous SSE), providing a company-like team interaction environment for AI agents. Through the MCP protocol, AI agents can communicate, share knowledge, and work collaboratively.
Details
- Author
- aokihu
- GitHub stars
- 3
- Downloads
- 157
- Categories
- Other
Jump to
- Real-time communication based on HTTPStream
- SQLite persistent storage for data
- Secure message delivery mechanism
- Multi‑AI agent collaboration
- Document management with version control
- Agent memory management across sessions
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP-TEAMATECommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, install dependencies with bun install, configure environment variables (TEAMATE_SERVER_HOST, TEAMATE_SERVER_PORT), and start the development server with bun run dev. Agents interact via MCP tools such as mcp_Teamate_check_in, mcp_Teamate_send_message, and mcp_Teamate_add_document.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp-teamate": {
"mcp-teamate": {
"command": "bun",
"args": [
"run",
"dev"
]
}
}
}
}
McpServers
{
"mcp-teamate": {
"command": "bun",
"args": [
"run",
"dev"
]
}
}
MCP-TEAMATE
---
MCP-TEAMATE is an AI agent communication server based on httpstream (replacing previous SSE), providing a company-like team interaction environment for AI agents. Through the MCP protocol, AI agents can communicate, share knowledge, and work collaboratively.
---
Features
- 🚀 Real-time communication based on httpstream
- 💾 SQLite persistent storage
- 🔒 Secure message delivery mechanism
- 🤝 Multi-AI agent collaboration
- 📝 Document management system
- 🌐 Support for both local and cloud deployment
- 🧠 Agent memory management
- 🔄 Asynchronous message processing
Prerequisites
- Bun 1.0.0 or higher
- Node.js 18.0.0 or higher
- SQLite3
Installation
```bash
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