C

Crewai Enterprise

2.5 points
59

What is the CrewAI Enterprise MCP Server?

The CrewAI Enterprise MCP Server is a platform for managing enterprise-level CrewAI workflows. It allows you to start deployed workflows and view their status and results.

How to use the CrewAI Enterprise MCP Server?

Start and manage your workflows by setting environment variables and running specific commands. It supports multiple tools and interfaces.

Applicable Scenarios

Suitable for scenarios that require efficient management and monitoring of enterprise-level AI workflows, such as data analysis and automated task processing.

Main Features

Start WorkflowsEasily start deployed enterprise-level workflows using the `kickoff_crew` command.
View Workflow StatusGet the real-time status and results of workflows through the `get_crew_status` command.
Multi-tool SupportSupports multiple tools and interfaces for easy integration into existing systems.

Advantages and Limitations

Advantages
Efficient AI workflow management
Real-time status tracking
Easy integration into existing systems
Limitations
Requires appropriate environment configuration
Has certain dependence on the network

How to Use

Install Dependencies
Install the required Python packages, such as `mcp` and `mcp[cli]`, in your local environment.
Set Environment Variables
Obtain the necessary environment variables from app.crewai.com and add them to your system.
Start the Server
Start the CrewAI Enterprise MCP Server using the provided command.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "crewai_enterprise_server": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "<filepath of cloned repo>",
        "/crewai_enterprise_server.py"
      ],
      "env": {
        "MCP_CREWAI_ENTERPRISE_SERVER_URL": "<>",
        "MCP_CREWAI_ENTERPRISE_BEARER_TOKEN": "<>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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