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Crew Sync Agent MCP Server

@Hwani-Net

リポジトリ

基本情報

カテゴリ

推論

ライセンス

Apache-2.0 license

トランスポート

stdio

作者

Hwani-Net

Crew Sync Agent MCP Server について

Dynamic Team Collaboration MCP Server for Smithery - Flexible crew synchronization with priority-based task management

#crew-sync-agent#team-collaboration#task-management

Crew Sync Agent MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "crew-sync-agent": {
      "command": "python",
      "args": [
        "test_crew_sync.py"
      ]
    }
  }
}

Crew Sync Agent MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Crew Sync Agent?

Crew Sync Agent is a flexible, dynamic team collaboration system built for the Model Context Protocol (MCP). It allows for dynamic team composition and real-time synchronization of crew members for various projects, unlike traditional fixed-team approaches.

How to use Crew Sync Agent?

Test locally with python test_crew_sync.py. For deployment, create a GitHub repository and deploy to Smithery using smithery deploy https://github.com/username/crew-sync-agent, then configure environment variables in the Smithery dashboard. Use the provided tools (sync_crew, add_crew_member, list_crew, echo) to manage and synchronize team members.

Key features of Crew Sync Agent

  • Dynamic Team Sync for flexible project-specific composition
  • Scalable Teams with support for up to 10 members
  • Priority-Based task prioritization (Low/Medium/High/Urgent)
  • Secure API key management via environment variables
  • Real-time MCP protocol-based instant team synchronization

Use cases of Crew Sync Agent

  • Web development projects (e.g., React + Node.js e-commerce platform)
  • Data analysis projects (e.g., user behavior pattern analysis)
  • Any project requiring dynamic team composition and task assignment

よくある質問

1

What is the maximum team size?

The maximum team size is configurable via the `MAX_CREW_SIZE` environment variable, with a default of 10.

2

How are API keys managed?

API keys are managed exclusively through environment variables (`OPENAI_API_KEY`, `ANTHROPIC_API_KEY`). No hardcoded secrets exist in the code, and Docker runs as a non-root user for additional security.

3

What tools does Crew Sync Agent provide?

It provides `sync_crew` (synchronize team members for a task), `add_crew_member` (add a new member), `list_crew` (list current team), and `echo` (connection test).

4

How do I deploy Crew Sync Agent?

Create a GitHub repository, then run `smithery deploy` with your repository URL. Configure required environment variables in the Smithery dashboard.

5

What runtime dependencies are needed?

The system uses Python and environment variables for configuration. Optional AI services (OpenAI, Anthropic) require corresponding API keys. Docker is recommended for deployment.

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