Enterprise Crew
MCP Server for kicking off and getting status of your crew deployments
What is Enterprise Crew?
Enterprise Crew is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for kicking off and getting status of your crew deployments
MCP Server for kicking off and getting status of your crew deployments
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP Server for kicking off and getting status of your crew d
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx enterpriseConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Enterprise Crew
The CrewAI Enterprise MCP Server is a Python-based MCP server that lets AI assistants kick off and monitor CrewAI crew deployments hosted on the CrewAI enterprise platform at app.crewai.com. It exposes two tools — kickoff_crew to trigger a deployed crew with input parameters, and get_crew_status to poll the result of a running or completed crew execution. Teams who have deployed AI workflows on CrewAI Enterprise can invoke them from Claude Desktop or any MCP client without leaving their conversation.
Prerequisites
- Python 3.10 or later and uv package manager installed
- A CrewAI Enterprise account at app.crewai.com with at least one crew deployed
- Your enterprise server URL (MCP_CREWAI_ENTERPRISE_SERVER_URL) from the CrewAI dashboard
- A bearer token (MCP_CREWAI_ENTERPRISE_BEARER_TOKEN) from the CrewAI dashboard
- An MCP-compatible client such as Claude Desktop
Clone the repository
The package is not yet on PyPI, so clone the source repository to run it locally.
git clone https://github.com/crewAIInc/enterprise-mcp-server.git
cd enterprise-mcp-serverInstall dependencies with uv
Install the mcp and mcp[cli] packages that the server depends on.
uv pip install mcp "mcp[cli]"Retrieve your CrewAI Enterprise credentials
Log in to app.crewai.com and navigate to your deployed crew's settings to find your server URL and bearer token. You will need both to configure the MCP server.
Add the server to your MCP client configuration
Add the crewai_enterprise_server entry to your Claude Desktop config. Replace the filepath and credential placeholders with your actual values.
{
"mcpServers": {
"crewai_enterprise_server": {
"command": "uv",
"args": [
"run",
"--with", "mcp[cli]",
"mcp",
"run",
"/absolute/path/to/enterprise-mcp-server/crewai_enterprise_server.py"
],
"env": {
"MCP_CREWAI_ENTERPRISE_SERVER_URL": "https://your-crew-endpoint.crewai.com",
"MCP_CREWAI_ENTERPRISE_BEARER_TOKEN": "your-bearer-token-here"
}
}
}
}Restart Claude Desktop and test the tools
Reload Claude Desktop. The kickoff_crew and get_crew_status tools should appear. Ask Claude to kick off your deployed crew to verify the connection.
Enterprise Crew Examples
Client configuration
Full Claude Desktop config for the Enterprise MCP server. Both environment variables are required and must be retrieved from the CrewAI Enterprise dashboard.
{
"mcpServers": {
"crewai_enterprise_server": {
"command": "uv",
"args": [
"run",
"--with", "mcp[cli]",
"mcp",
"run",
"/path/to/enterprise-mcp-server/crewai_enterprise_server.py"
],
"env": {
"MCP_CREWAI_ENTERPRISE_SERVER_URL": "https://your-crew-endpoint.crewai.com",
"MCP_CREWAI_ENTERPRISE_BEARER_TOKEN": "your-bearer-token-here"
}
}
}
}Prompts to try
Prompts that trigger and monitor CrewAI Enterprise crew deployments through this server.
- "Kick off the market-research crew with the topic 'electric vehicle trends in Europe'"
- "Check the status of the crew execution I just started"
- "Run the content-generation crew and give it the input: product='CloudSync', audience='enterprise CTOs'"
- "What is the result of the last crew run?"
- "Trigger the data-analysis crew with the dataset URL 'https://example.com/sales-q3.csv'"Troubleshooting Enterprise Crew
The server starts but kickoff_crew returns a 401 Unauthorized error
Verify that MCP_CREWAI_ENTERPRISE_BEARER_TOKEN matches the token shown in your CrewAI Enterprise dashboard. Tokens are per-crew, so ensure the token belongs to the specific crew you are trying to kick off.
uv run fails with 'No module named mcp'
Install the dependency explicitly with 'uv pip install mcp "mcp[cli]"' inside your project directory, or create a virtual environment first with 'uv venv .venv && source .venv/bin/activate'.
get_crew_status returns 'pending' indefinitely
Check the CrewAI Enterprise dashboard at app.crewai.com to see if the crew run is actually progressing. Very large crew workflows can take several minutes. If the run shows an error in the dashboard, inspect the crew's logs there for the root cause.
Frequently Asked Questions about Enterprise Crew
What is Enterprise Crew?
Enterprise Crew is a Model Context Protocol (MCP) server that mcp server for kicking off and getting status of your crew deployments It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Enterprise Crew?
Follow the installation instructions on the Enterprise Crew GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Enterprise Crew?
Enterprise Crew works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Enterprise Crew free to use?
Yes, Enterprise Crew is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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