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Claude Team MCP

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

Unclaimed MIT last commit 8 months ago other
61Good

Scored 19 days ago · breakdown

About Claude Team MCP

Claude Team MCP is an MCP server published by 7836246 in the Developer Tools category: 🤖 Multi-Agent MCP Server - Let Claude Code / Windsurf / Cursor orchestrate GPT, Claude, Gemini to work as an AI dev team. It has been installed 0 times through Conduid.

The repository has 44 stars and 6 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx claude-team-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.4.0v0.4.0 - 自定义专家、工作流模板、可观测性工具 · 21 Dec 2025🎉 v0.4.0 新功能 🎯 自定义专家 通过环境变量 `CLAUDE_TEAM_CUSTOM_EXPERTS` 定义自己的专家 🔗 工作流模板 5 个预定义工作流:code-generation、bug-fix、refactoring、code-review、documentation 📊 可观测性工具 team_dashboard - 查看团队状态 cost_estimate - 预估任务成本 explain_plan - 预览任务分配方案 🔌 项目集成…
v0.3.0v0.3.0 · 20 Dec 2025🎉 v0.3.0 新功能 核心功能 🔄 **任务中断/恢复** - 长任务中断后可从历史恢复继续执行 💬 **专家多轮对话** - 支持与特定专家进行多轮对话 📊 **Token 计数** - 统计 token 使用量和估算 API 成本 📋 **专家模板** - 6 个内置模板 + 自定义模板管理 🔔 **Webhook 通知** - 任务完成后发送通知 改进 ⚡ **指数退避** - 智能重试和 429 速率限制处理 🔧 **配置热重载** - 支持不重启更新配置 ✅…
v0.2.3v0.2.3 - 模型格式配置 · 20 Dec 2025✨ 新功能 🎛️ PROVIDER 配置 支持为每个模型指定响应格式,适配不同中转服务: { "CLAUDE_TEAM_MAIN_PROVIDER": "openai", "CLAUDE_TEAM_MODEL1_PROVIDER": "anthropic", "CLAUDE_TEAM_MODEL2_PROVIDER": "gemini" } 可选值 `openai` - OpenAI 格式(默认) `anthropic` - Claude 格式 `gemini` -…
v0.2.2v0.2.2 - 流式输出支持 · 20 Dec 2025✨ 新功能 🌊 流式输出 所有模型适配器现已支持流式输出: OpenAI** - GPT 系列及兼容 API Claude** - Anthropic Claude 系列 Gemini** - Google Gemini 系列 使用方式 适配器提供 `stream()` 方法,返回 AsyncGenerator: for await (const chunk of adapter.stream(messages)) {…
v0.2.1v0.2.1 - 使用统计 · 20 Dec 2025✨ 新功能 📊 使用统计 新增 `usage_stats` 工具,可查看: 总调用次数 成功/失败次数 各模型调用统计 平均耗时、最短/最长耗时 使用方法 直接调用 `usage_stats` 工具即可查看统计信息。 安装 npx claude-team

README

🤖 Claude Team

Multi-Agent MCP Server for AI-Powered Development Teams

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

npm version downloads Node.js MCP License Tests

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

Star History Chart


⬆ Back to Top

Made with ❤️ by the community

README mirrored from the source repository 19 days ago. The original is authoritative.

Questions

About Claude Team MCP

How do I install Claude Team MCP?

Run npx claude-team-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Claude Team MCP safe to use with an AI agent?

Its trust score is 61 out of 100 (good). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Claude Team MCP still maintained?

The last commit was 8 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.