AI Agent Team
AI Agent Team-拥有24/7专业AI开发团队：产品经理、前端开发、后端开发、测试工程师、DevOps工程师、技术负责人。一键安装，支持中英文命令，大幅提升开发效率！
What is AI Agent Team?
AI Agent Team is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ai agent team-拥有24/7专业ai开发团队：产品经理、前端开发、后端开发、测试工程师、devops工程师、技术负责人。一键安装，支持中英文命令，大幅提升开发效率！
AI Agent Team-拥有24/7专业AI开发团队：产品经理、前端开发、后端开发、测试工程师、DevOps工程师、技术负责人。一键安装，支持中英文命令，大幅提升开发效率！
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- AI Agent Team-拥有24/7专业AI开发团队：产品经理、前端开发、后端开发、测试工程师、DevOps工程师、
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ai-agent-teamConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use AI Agent Team
AI Agent Team provides a ready-made virtual development team of seven specialized AI agents — Product Manager, Frontend Developer, Backend Developer, Fullstack Developer, QA Engineer, DevOps Engineer, and Tech Leader — that integrate directly into Claude Code via Claude's skills and commands system. After a one-command install, each agent is accessible via a short slash command (e.g., /pm, /fe, /be) and is backed by a Thread Manager with persistent semantic memory so context carries across sessions. It also ships bonus skills including a desktop organizer, changelog generator, infographic creator (DrawNote), and software copyright generator.
Prerequisites
- Node.js 18+ installed
- Claude Code (the Claude CLI) installed and configured
- npm for global package installation
- A project directory where Claude Code is active
Install AI Agent Team globally
Install the package globally with npm. This makes the ai-agent-team CLI available system-wide.
npm install -g ai-agent-teamInitialize in your project
Run the init command inside your project directory to set up the .claude/agents/, .claude/commands/, and .claude/skills/ directories and generate the seven agent configuration files.
cd your-project
ai-agent-team initRegister the Thread Manager MCP server
The Thread Manager provides persistent memory and semantic search across agent sessions. Register it with Claude Code using the claude mcp add command.
claude mcp add thread-manager node "/path/to/.claude/skills/thread-manager/dist/index.js"Verify agents are available in Claude Code
Open Claude Code in your project. Type /pm to activate the Product Manager agent, or /tl for the Tech Leader. Each agent has a specialized system prompt and tool access.
Run an agent on a task
Use the full command form to assign a specific task to an agent. The agent will use its domain expertise and any persistent memory from previous sessions.
# In Claude Code:
/pm-start "Design the user authentication flow for the app"
/be-start "Implement JWT authentication with refresh tokens"
/qa-start "Write integration tests for the login endpoint"AI Agent Team Examples
Client configuration
After running ai-agent-team init, the MCP server for Thread Manager should be registered. If you need to add it manually to your Claude Code MCP config, use this structure.
{
"mcpServers": {
"thread-manager": {
"command": "node",
"args": ["/Users/yourname/.claude/skills/thread-manager/dist/index.js"]
}
}
}Prompts to try
Example prompts and slash commands for each agent role and the bonus skills.
- "/pm-start 'Create a product roadmap for a SaaS billing feature'"
- "/fe-start 'Build a responsive React dashboard component with dark mode'"
- "/be-start 'Design a REST API for user profile management with PostgreSQL'"
- "/ops 'Set up a GitHub Actions CI/CD pipeline with Docker build and ECR push'"
- "/tl 'Review the architecture for the microservices refactor and identify risks'"
- "Create an infographic about 'History of JavaScript frameworks' using DrawNote"
- "Generate a changelog from the last 30 commits in this repository"Troubleshooting AI Agent Team
Slash commands like /pm or /fe are not recognized in Claude Code
Ensure ai-agent-team init was run inside the project directory and that the .claude/commands/ directory was created. Restart Claude Code to pick up the new command files.
Thread Manager MCP server fails to start
Verify the path passed to `claude mcp add` points to the actual built index.js — it should be inside your global npm prefix. Run `npm root -g` to find the global node_modules directory and confirm the file exists at node_modules/ai-agent-team/.claude/skills/thread-manager/dist/index.js.
Agents lose context between sessions
The Thread Manager must be running as an MCP server for persistent memory to work. Check `claude mcp list` to confirm thread-manager is registered and active. Re-run the `claude mcp add` command if it is missing.
Frequently Asked Questions about AI Agent Team
What is AI Agent Team?
AI Agent Team is a Model Context Protocol (MCP) server that ai agent team-拥有24/7专业ai开发团队：产品经理、前端开发、后端开发、测试工程师、devops工程师、技术负责人。一键安装，支持中英文命令，大幅提升开发效率！ It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AI Agent Team?
Follow the installation instructions on the AI Agent Team GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with AI Agent Team?
AI Agent Team works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AI Agent Team free to use?
Yes, AI Agent Team is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
AI Agent Team Alternatives — Similar Coding Agents Servers
Looking for alternatives to AI Agent Team? Here are other popular coding agents servers you can use with Claude, Cursor, and VS Code.
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Goose
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Antigravity Awesome Skills
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Set Up AI Agent Team in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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