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codecrew

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codecrew

CodeCrew: A Model Context Protocol (MCP) server for AI-powered code analysis and multi-agent collaboration

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npmnpm
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0.3.14
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CodeCrew

Build your AI team with your existing subscriptions

Transform Claude, Gemini, and Copilot into a collaborative development team. No extra costs—just your existing AI subscriptions working together.

Why CodeCrew?

💬 Slack Team Collaboration - Your AI Team in Slack

Bring AI agents directly into your team's workspace:

  • Team-wide AI access - Everyone benefits from AI expertise in Slack channels
  • Thread-based context - Maintains conversation history automatically
  • Multi-agent collaboration - @claude, @gemini, @copilot work together in real-time
  • Natural integration - Works like chatting with team members
  • Shared knowledge - Team learns from AI interactions, not isolated sessions

✨ Other Benefits

  • No additional costs - Use existing Claude Pro, Gemini, or GitHub Copilot subscriptions
  • Multi-agent collaboration - Different AI models working on specialized tasks
  • Parallel execution - Multiple agents working simultaneously
  • Flexible integration - CLI, MCP server, or Slack bot

Quick Start

# Install
npm install -g codecrew

# Initialize
codecrew init

# Check system
codecrew doctor

# Try it out
codecrew query "@claude analyze my code"
codecrew execute "@claude create a login component"

Three Ways to Use

# Start CodeCrew in your Slack workspace
codecrew slack

# Your team can now:
# - @mention AI agents in channels
# - Maintain context in threads
# - Share AI insights with the whole team

👉 Complete Slack Setup Guide →

🖥️ CLI Mode - Direct terminal usage

codecrew query "@claude review this code"
codecrew execute "@gemini optimize performance"
codecrew query "@claude @gemini @copilot compare approaches"

🔌 MCP Server Mode - IDE integration

codecrew mcp  # VS Code, Claude Desktop, Cursor

Supported AI Tools

  • Claude Code - Advanced reasoning and analysis
  • Gemini CLI - Real-time web access
  • GitHub Copilot CLI - Specialized coding assistant

Basic Usage

# Read-only analysis
codecrew query "@claude explain this function"

# File creation/modification
codecrew execute "@claude implement user authentication"

# Parallel tasks
codecrew execute "@claude create tests" "@gemini write docs"

# Pipeline workflows
codecrew query "@architect design API" | \
codecrew execute "@backend implement it"

# Thread-based conversations
codecrew query "@claude design login" --thread "auth-feature"
codecrew execute "@claude implement it" --thread "auth-feature"

Create Custom Agents

# Let @codecrew create agents for you
codecrew execute "@codecrew Create a Python expert agent"
codecrew execute "@codecrew Create a React specialist with TypeScript"
codecrew execute "@codecrew Create a DevOps agent for Docker"

# Test your new agent
codecrew query "@python_expert Review my code"

Agent Configuration

Create agents.yaml:

agents:
  - id: "frontend_dev"
    name: "React Expert"
    provider: "claude"
    working_directory: "./src"
    inline:
      type: "agent"
      system_prompt: |
        You are a senior React developer.
        Provide detailed examples and best practices.

Documentation

License

MIT License - Copyright (c) 2025 SowonLabs

Built by SowonLabs

Keywords

codecrew

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Package last updated on 07 Oct 2025

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