MCP.so
登录

🔄 Crew Sync Agent

@Hwani-Net

代码仓库

关于 🔄 Crew Sync Agent

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

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

基本信息

分类

推理

许可证

Apache-2.0 license

运行时

node

传输方式

stdio

发布者

Hwani-Net

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

评论

推理 分类下的更多 MCP 服务器

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

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

Unified MCP Suite

Godzilla675

A suite of Model Context Protocol (MCP) servers designed to enhance AI agent capabilities. Provides tools for media search/understanding (images, video), web information retrieval, PDF generation, and PowerPoint presentation creation, enabling agents to interact with diverse data

19

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

MCP Advanced Reasoning Server for Cursor AI

AzDeltaQQ

This is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .

13