claude-team-mcp

🥈Silver

Claude Team MCP Server enables AI agents like GPT, Claude, and Gemini to collaborate as a development team. It orchestrates these agents to work together on complex tasks, benefiting software development teams by automating coding, testing, and documentation workflows. The server connects to tools like Claude Code, Windsurf, and Cursor for seamless integration into existing development environments.

4340Updated 1w ago

Intermediate30min to implementautomation

Saves ~480 min per use

Quick InstallView Source

git clone https://github.com/7836246/claude-team-mcp.git

Works with:

Claude

Overview

About This Skill

The claude-team-mcp skill is designed to enhance AI automation by enabling Claude Code, Windsurf, and Cursor to work together as a cohesive AI development team. This Multi-Agent MCP Server skill facilitates the orchestration of multiple AI agents, such as GPT, Claude, and Gemini, allowing them to collaborate effectively on various tasks. By leveraging this skill, users can streamline their development processes and improve overall productivity. One of the key benefits of using the claude-team-mcp skill is its ability to save time by automating complex workflows that would typically require significant manual effort. While specific time savings are currently unknown, the integration of multiple AI agents can lead to faster project completion and reduced overhead in managing individual tasks. This skill is particularly beneficial for developers and product managers who are looking to optimize their workflow automation and enhance their team's efficiency. This skill is ideal for developers, product managers, and AI practitioners who are involved in AI automation and workflow management. It fits well within an AI-first workflow, where teams can leverage the capabilities of various AI agents to tackle different aspects of a project simultaneously. For example, a development team could use this skill to have GPT generate code, Claude review it for quality, and Gemini assist with deployment, all working in tandem to reduce bottlenecks. The implementation of the claude-team-mcp skill is rated as intermediate, with an estimated time to implement of about 30 minutes. Users should have a basic understanding of AI agents and their functionalities to maximize the effectiveness of this skill. As businesses increasingly adopt AI-driven solutions, integrating such automation skills into their workflows becomes essential for maintaining a competitive edge.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/7836246/claude-team-mcp

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I want to create a team of AI agents to work on [PROJECT_NAME]. The team should include [NUMBER] agents with the following roles: [ROLES]. The agents should use the following tools: [TOOLS]. The project requirements are: [REQUIREMENTS]. Please set up the team and provide a plan for how they will collaborate to complete the project.

Example Output

Based on your request, I have created a team of 5 AI agents to work on the 'E-commerce Platform Upgrade' project. The team consists of a Project Manager, a Backend Developer, a Frontend Developer, a QA Engineer, and a Technical Writer. The agents will use Claude Code for coding, Windsurf for testing, and Cursor for documentation. The project requirements include upgrading the platform to support mobile devices, improving the checkout process, and adding a new loyalty program. The team will collaborate by breaking down the project into smaller tasks, assigning tasks to each agent based on their roles, and using the tools to complete the tasks. The Project Manager will oversee the progress and ensure that the project is completed on time and within budget.