MCP.so
ログイン

🔄 Crew Sync Agent

@Hwani-Net

リポジトリ

🔄 Crew Sync Agent 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

基本情報

カテゴリ

推論

ライセンス

Apache-2.0 license

ランタイム

node

トランスポート

stdio

公開者

Hwani-Net

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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

FAQ from Crew Sync Agent

What is the maximum team size?

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

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.

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).

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.

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.

コメント

「推論」の他のコンテンツ

Agenticstore — The Open Source Standard For Local Mcp Tooling

agenticstore

AgenticStore: The secure toolkit for AI agents. Instantly equip Claude Desktop, Cursor, and Windsurf with 27+ MCP tools, persistent memory, and SearXNG search, all protected by a built-in PII prompt firewall to protect your data from being exposed to AI agents.

4

ArduPilot MCP Server Sandbox

hfujikawa77

ArduPilotドローンをAIエージェントから操作するMCPサーバーです。

9

Code Reasoning MCP Server

mettamatt

A code reasoning MCP server, a fork of sequential-thinking

255

Deno Sandbox MCP Server

bewt85

An MCP server that allows you to run TypeScript, JavaScript, and Python code in a sandbox on your local machine using the Deno® sandbox. This server provides a controlled environment for executing code with explicit permission controls.

13

NeoCoder: Neo4j-Guided AI Coding Workflow

angrysky56

An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.

20