MCP Catalogs
Homeai-agent-team screenshot

ai-agent-team

by peterfei·355·Score 49

AI Agent Team is an MCP server providing a 24/7 AI development team with specialized roles for product management, frontend, backend, QA, DevOps, and technical leadership.

developer-toolsproductivityai-llm
51
Forks
1
Open issues
5 mo ago
Last commit
2d ago
Indexed

Overview

The AI Agent Team MCP server implements a Thread Manager system that provides persistent memory and semantic search capabilities for AI assistants. It features a layered memory architecture with 30-50% improved context accuracy through vector retrieval instead of time-based search. The server supports multiple specialized AI roles (product manager, frontend, backend, etc.) and enables multi-threaded task management with full context recovery. It includes local embedding models for offline operation and integrates with Git for automatic version control.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Multi-threaded software development with specialized AI roles for frontend, backend, and QA tasks running in parallel
you:Long-term project management where AI maintains context across months of development
you:Automated software documentation generation for copyright applications with proper formatting
you:Why is the /threads command not available?
you:What's the difference between global and project initialization?

When to choose this

Choose this when you need persistent memory and context management across long development sessions, especially when working on complex projects that require switching between different development roles and maintaining conversation history.

When NOT to choose this

Avoid this if you need simple, stateless interactions or if you're working in a team environment where thread data isolation between projects is essential and the global sharing doesn't fit your workflow.

Tools this server exposes

11 tools extracted from the README
  • pm-start

    Create a new product manager thread with a task description

  • fe-start

    Create a new frontend development thread with a task description

  • be-start

    Create a new backend development thread with a task description

  • qa-start

    Create a new QA testing thread with a task description

  • threads

    List all available threads with their details

  • thread-switchthread-switch <thread_id>

    Switch to a specific thread to resume its context

  • thread-info

    Show information about the current active thread

  • changelog-generate

    Generate changelog from Git history

  • softcopyright

    Generate software copyright application materials

  • tidy-my-desktop

    Intelligently organize desktop files and directories

  • drawnote

    Create visual notes and diagrams from text content

Comparable tools

dev-assistantthread-managerclaude-extensionsai-dev-tools

Installation

# Step 1: Install globally
npm install -g ai-agent-team

# Step 2: Initialize configuration (global or project)
ai-agent-team init

# Step 3: Enable Thread Manager MCP server
claude mcp add thread-manager node "YOUR_PATH/.claude/skills/thread-manager/dist/index.js"
// Add to Claude Desktop config
{
  "mcpServers": {
    "thread-manager": {
      "command": "node",
      "args": ["/path/to/.claude/skills/thread-manager/dist/index.js"]
    }
  }
}

FAQ

Why is the /threads command not available?
The Thread Manager MCP server hasn't been enabled. Use 'claude mcp add thread-manager node <path>' to enable it and restart Claude Code.
What's the difference between global and project initialization?
Global initialization (~/.claude/) shares data across all projects while project initialization (./.claude/) keeps data isolated to the current project.

Compare ai-agent-team with

GitHub →

Last updated · Auto-generated from public README + GitHub signals.