Claude Team

783624649starsClaim this server

🤖 Multi-Agent MCP Server - Let Claude Code / Windsurf / Cursor orchestrate GPT, Claude, Gemini to work as an AI dev team

Autonomous Agents

Install Run on PlugMCPClaim this server

GitHub Website

Run on PlugMCP

1# Claude Team

README.mdMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

Install from the publisher. Not a PlugMCP endpoint.

Run on PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
License: MIT
Last checked: 2026-10-26

Stars: 49
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Claude Team?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Claude Team need an API key?

No required environment variable is listed on this record.

What transport does Claude Team use?

Claude Team runs locally over stdio.

When was Claude Team last checked?

Last checked 2026-10-26. 🤖 Multi-Agent MCP Server - Let Claude Code / Windsurf / Cursor orchestrate GPT, Claude, Gemini to work as an AI dev team

From the publisher

Documentation

🤖 Claude Team

Multi-Agent MCP Server for AI-Powered Development Teams

Orchestrate GPT, Claude, Gemini and more to collaborate on complex tasks

English | 简体中文

✨ Features

Feature	Description
🤖 Multi-Model Collaboration	Configure multiple AI models to work together, each leveraging their strengths
🧠 Smart Task Distribution	Tech Lead analyzes tasks and automatically assigns them to the best-suited experts
🔗 Workflow Templates	5 pre-built workflows: code generation, bug fixing, refactoring, review, documentation
🎯 Custom Experts	Define your own experts (Rust, K8s, Security, etc.) via environment variables
📊 Observability	Dashboard, cost estimation, and task planning preview
🌐 Proxy API Support	Custom Base URLs, compatible with various proxy services
📝 Collaboration History	Complete record of all collaborations with search support

🚀 Quick Start

Installation

# Global install
npm install -g claude-team

# Or use directly with npx (no install needed)
npx claude-team

Basic Configuration

Add to your IDE's MCP configuration file:

IDE	Path
Claude Code	`~/.claude/config.json`
Windsurf	`~/.codeium/windsurf/mcp_config.json`
Cursor	`~/.cursor/mcp.json`

{
  "mcpServers": {
    "claude-team": {
      "command": "npx",
      "args": ["-y", "claude-team"],
      "env": {
        "CLAUDE_TEAM_MAIN_KEY": "sk-your-api-key",
        "CLAUDE_TEAM_MAIN_URL": "https://api.openai.com/v1",
        "CLAUDE_TEAM_MAIN_MODEL": "gpt-4o",
        "CLAUDE_TEAM_MAIN_PROVIDER": "openai"
      }
    }
  }
}

Start Using

> Help me build a user login feature with the team

> Have the team optimize this code for performance

🎬 How It Works

User: "Optimize this SQL query for performance"

Tech Lead Analysis →
├── Creates: SQL Optimization Expert (powerful)
├── Creates: Index Analysis Expert (balanced)  
└── Workflow: sequential

User: "Build a settings page with dark mode"

Tech Lead Analysis →
├── Creates: UI Component Expert (balanced)
├── Creates: Theme System Expert (fast)
├── Creates: State Management Expert (balanced)
└── Workflow: parallel → review

🛠️ Available Tools

Core Tools

Tool	Description
`team_work`	🚀 Team collaboration (auto-creates experts)
`ask_expert`	💬 Consult an expert (supports custom experts)
`code_review`	🔍 Code review
`fix_bug`	🐛 Bug fixing

Workflow Tools

Tool	Description
`list_workflows`	📋 List all workflow templates
`run_workflow`	▶️ Execute a specific workflow
`suggest_workflow`	💡 Auto-recommend workflow based on task

Pre-built Workflows:

Workflow	Purpose	Steps
`code-generation`	Generate code from requirements	Design → Implement → Test → Review
`bug-fix`	Diagnose and fix bugs	Diagnose → Fix → Verify
`refactoring`	Code refactoring	Analyze → Plan → Execute → Review
`code-review`	Multi-dimensional review	Security / Quality / Performance (parallel)
`documentation`	Generate documentation	Analyze → Document

Observability Tools

Tool	Description
`team_dashboard`	🎛️ View team status, experts, models, stats
`cost_estimate`	💰 Estimate task cost (tokens, price, time)
`explain_plan`	🧠 Preview task assignment plan
`usage_stats`	📈 View model usage statistics

Integration Tools

Tool	Description
`read_project_files`	📄 Read project files for context
`analyze_project_structure`	🏗️ Analyze project structure and tech stack
`generate_commit_message`	📝 Generate commit message from diff

History Tools

Tool	Description
`history_list`	📋 View collaboration history
`history_get`	📄 Get history details
`history_search`	🔎 Search history records
`history_context`	📚 Get recent context

⚙️ Configuration

Environment Variables

Variable	Required	Description
`CLAUDE_TEAM_MAIN_KEY`	✅	Main model API Key
`CLAUDE_TEAM_MAIN_URL`	❌	Main model API URL
`CLAUDE_TEAM_MAIN_MODEL`	❌	Main model ID (default: gpt-4o)
`CLAUDE_TEAM_MAIN_PROVIDER`	❌	Provider: `openai` / `anthropic` / `gemini`
`CLAUDE_TEAM_MODEL{N}_*`	❌	Worker model N config (inherits from MAIN)
`CLAUDE_TEAM_CUSTOM_EXPERTS`	❌	Custom experts (JSON format)

N = 1, 2, 3... supports up to 10 worker models

Custom Experts

Define your own experts beyond the built-in frontend, backend, qa:

{
  "env": {
    "CLAUDE_TEAM_CUSTOM_EXPERTS": "{\"rust\":{\"name\":\"Rust Expert\",\"prompt\":\"You are a Rust expert...\",\"tier\":\"powerful\"},\"k8s\":{\"name\":\"K8s Expert\",\"prompt\":\"You are a Kubernetes expert...\",\"tier\":\"balanced\"}}"
  }
}

Field	Required	Description
`name`	✅	Expert display name
`prompt`	✅	Expert role description (System Prompt)
`tier`	❌	Model tier: `fast` / `balanced` / `powerful`
`skills`	❌	Skill tags array

Model Tiers

Tier	Use Case	Example Scenarios
`fast`	Simple, quick tasks	Formatting, simple queries, docs
`balanced`	Regular dev tasks	Components, APIs, unit tests
`powerful`	Complex reasoning	Architecture, optimization, security

📦 Changelog

v0.4.0

🎯 Custom Experts - Define experts via environment variables
🔗 Workflow Templates - 5 pre-built workflows
📊 Observability - Dashboard, cost estimation, plan preview
🔌 Integration - Project file reading, structure analysis, commit messages
💡 Smart Recommendations - Auto-suggest workflows
🧪 Test Coverage - 155 test cases

v0.3.0

🔄 Task interrupt/resume support
💬 Multi-turn expert conversations
📊 Token counting and cost estimation
📋 Expert templates (6 built-in + custom)
🔔 Webhook notifications
⚡ Exponential backoff retry
🔧 Hot config reload

v0.2.x

🌊 Streaming output support
📊 Usage statistics
🎯 Model strategies
💾 Result caching
🔄 Auto model switching

v0.1.x

🎉 Initial release
🤖 Multi-model collaboration
🌐 Proxy API support

🤝 Contributing

Contributions are welcome! Please read our:

📄 License

MIT

⭐ Star History

⬆ Back to Top

Made with ❤️ by the community

Claude Team

783624649starsClaim this server

🤖 Multi-Agent MCP Server - Let Claude Code / Windsurf / Cursor orchestrate GPT, Claude, Gemini to work as an AI dev team

Autonomous Agents

Install Run on PlugMCPClaim this server

GitHub Website

Run on PlugMCP

1# Claude Team

README.mdMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

Install from the publisher. Not a PlugMCP endpoint.

Run on PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
License: MIT
Last checked: 2026-10-26

Stars: 49
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Claude Team?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Claude Team need an API key?

No required environment variable is listed on this record.

What transport does Claude Team use?

Claude Team runs locally over stdio.

When was Claude Team last checked?

Last checked 2026-10-26. 🤖 Multi-Agent MCP Server - Let Claude Code / Windsurf / Cursor orchestrate GPT, Claude, Gemini to work as an AI dev team

From the publisher

Documentation

🤖 Claude Team

Multi-Agent MCP Server for AI-Powered Development Teams

Orchestrate GPT, Claude, Gemini and more to collaborate on complex tasks

English | 简体中文

✨ Features

Feature	Description
🤖 Multi-Model Collaboration	Configure multiple AI models to work together, each leveraging their strengths
🧠 Smart Task Distribution	Tech Lead analyzes tasks and automatically assigns them to the best-suited experts
🔗 Workflow Templates	5 pre-built workflows: code generation, bug fixing, refactoring, review, documentation
🎯 Custom Experts	Define your own experts (Rust, K8s, Security, etc.) via environment variables
📊 Observability	Dashboard, cost estimation, and task planning preview
🌐 Proxy API Support	Custom Base URLs, compatible with various proxy services
📝 Collaboration History	Complete record of all collaborations with search support

🚀 Quick Start

Installation

# Global install
npm install -g claude-team

# Or use directly with npx (no install needed)
npx claude-team

Basic Configuration

Add to your IDE's MCP configuration file:

IDE	Path
Claude Code	`~/.claude/config.json`
Windsurf	`~/.codeium/windsurf/mcp_config.json`
Cursor	`~/.cursor/mcp.json`

{
  "mcpServers": {
    "claude-team": {
      "command": "npx",
      "args": ["-y", "claude-team"],
      "env": {
        "CLAUDE_TEAM_MAIN_KEY": "sk-your-api-key",
        "CLAUDE_TEAM_MAIN_URL": "https://api.openai.com/v1",
        "CLAUDE_TEAM_MAIN_MODEL": "gpt-4o",
        "CLAUDE_TEAM_MAIN_PROVIDER": "openai"
      }
    }
  }
}

Start Using

> Help me build a user login feature with the team

> Have the team optimize this code for performance

🎬 How It Works

User: "Optimize this SQL query for performance"

Tech Lead Analysis →
├── Creates: SQL Optimization Expert (powerful)
├── Creates: Index Analysis Expert (balanced)  
└── Workflow: sequential

User: "Build a settings page with dark mode"

Tech Lead Analysis →
├── Creates: UI Component Expert (balanced)
├── Creates: Theme System Expert (fast)
├── Creates: State Management Expert (balanced)
└── Workflow: parallel → review

🛠️ Available Tools

Core Tools

Tool	Description
`team_work`	🚀 Team collaboration (auto-creates experts)
`ask_expert`	💬 Consult an expert (supports custom experts)
`code_review`	🔍 Code review
`fix_bug`	🐛 Bug fixing

Workflow Tools

Tool	Description
`list_workflows`	📋 List all workflow templates
`run_workflow`	▶️ Execute a specific workflow
`suggest_workflow`	💡 Auto-recommend workflow based on task

Pre-built Workflows:

Workflow	Purpose	Steps
`code-generation`	Generate code from requirements	Design → Implement → Test → Review
`bug-fix`	Diagnose and fix bugs	Diagnose → Fix → Verify
`refactoring`	Code refactoring	Analyze → Plan → Execute → Review
`code-review`	Multi-dimensional review	Security / Quality / Performance (parallel)
`documentation`	Generate documentation	Analyze → Document

Observability Tools

Tool	Description
`team_dashboard`	🎛️ View team status, experts, models, stats
`cost_estimate`	💰 Estimate task cost (tokens, price, time)
`explain_plan`	🧠 Preview task assignment plan
`usage_stats`	📈 View model usage statistics

Integration Tools

Tool	Description
`read_project_files`	📄 Read project files for context
`analyze_project_structure`	🏗️ Analyze project structure and tech stack
`generate_commit_message`	📝 Generate commit message from diff

History Tools

Tool	Description
`history_list`	📋 View collaboration history
`history_get`	📄 Get history details
`history_search`	🔎 Search history records
`history_context`	📚 Get recent context

⚙️ Configuration

Environment Variables

Variable	Required	Description
`CLAUDE_TEAM_MAIN_KEY`	✅	Main model API Key
`CLAUDE_TEAM_MAIN_URL`	❌	Main model API URL
`CLAUDE_TEAM_MAIN_MODEL`	❌	Main model ID (default: gpt-4o)
`CLAUDE_TEAM_MAIN_PROVIDER`	❌	Provider: `openai` / `anthropic` / `gemini`
`CLAUDE_TEAM_MODEL{N}_*`	❌	Worker model N config (inherits from MAIN)
`CLAUDE_TEAM_CUSTOM_EXPERTS`	❌	Custom experts (JSON format)

N = 1, 2, 3... supports up to 10 worker models

Custom Experts

Define your own experts beyond the built-in frontend, backend, qa:

{
  "env": {
    "CLAUDE_TEAM_CUSTOM_EXPERTS": "{\"rust\":{\"name\":\"Rust Expert\",\"prompt\":\"You are a Rust expert...\",\"tier\":\"powerful\"},\"k8s\":{\"name\":\"K8s Expert\",\"prompt\":\"You are a Kubernetes expert...\",\"tier\":\"balanced\"}}"
  }
}

Field	Required	Description
`name`	✅	Expert display name
`prompt`	✅	Expert role description (System Prompt)
`tier`	❌	Model tier: `fast` / `balanced` / `powerful`
`skills`	❌	Skill tags array

Model Tiers

Tier	Use Case	Example Scenarios
`fast`	Simple, quick tasks	Formatting, simple queries, docs
`balanced`	Regular dev tasks	Components, APIs, unit tests
`powerful`	Complex reasoning	Architecture, optimization, security

📦 Changelog

v0.4.0

🎯 Custom Experts - Define experts via environment variables
🔗 Workflow Templates - 5 pre-built workflows
📊 Observability - Dashboard, cost estimation, plan preview
🔌 Integration - Project file reading, structure analysis, commit messages
💡 Smart Recommendations - Auto-suggest workflows
🧪 Test Coverage - 155 test cases

v0.3.0

🔄 Task interrupt/resume support
💬 Multi-turn expert conversations
📊 Token counting and cost estimation
📋 Expert templates (6 built-in + custom)
🔔 Webhook notifications
⚡ Exponential backoff retry
🔧 Hot config reload

v0.2.x

🌊 Streaming output support
📊 Usage statistics
🎯 Model strategies
💾 Result caching
🔄 Auto model switching

v0.1.x

🎉 Initial release
🤖 Multi-model collaboration
🌐 Proxy API support

🤝 Contributing

Contributions are welcome! Please read our:

📄 License

MIT

⭐ Star History

⬆ Back to Top

Made with ❤️ by the community