CrewAI Enterprise
About
Connects to CrewAI Enterprise workflows, enabling kickoff and monitoring of collaborative agent teams for complex task delegation without leaving your interface.
Details
- Author
- crewaiinc
- Repository
- crewAIInc/enterprise-mcp-server
- GitHub stars
- 32
- Downloads
- 393
- Categories
- Productivity, Developer Tools, Design, Workplace, AI, Security, Communication, Infrastructure, Other
- Tags
- #integration
Jump to
- Kicks off deployed CrewAI workflows
- Inspects crew status and results
- Uses two tools: kickoff_crew and get_crew_status
- Integrates with Claude Desktop via MCP
- Requires bearer token authentication
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
CrewAI EnterpriseCommand (node, npx, python, etc.)uvArguments-
Argument 1
run -
Argument 2
--with -
Argument 3
mcp[cli] -
Argument 4
mcp -
Argument 5
run -
Argument 6
<filepath of cloned repo> -
Argument 7
/crewai_enterprise_server.py
Environment-
MCP_CREWAI_ENTERPRISE_SERVER_URL
<> -
MCP_CREWAI_ENTERPRISE_BEARER_TOKEN
<>
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
To use this MCP server with Claude Desktop, follow these steps:
1. Open Claude Desktop
2. Go to Settings > Developer Settings
3. Add a new MCP server with the configuration shown below
kickoff_crew
Starts the deployed crew.
get_crew_status
Retrieves the current status of the deployed crew.
- kickoff_crew
- get_crew_status
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"crewai enterprise": {
"env": {
"MCP_CREWAI_ENTERPRISE_SERVER_URL": "<>",
"MCP_CREWAI_ENTERPRISE_BEARER_TOKEN": "<>"
},
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"<filepath of cloned repo>",
"/crewai_enterprise_server.py"
],
"command": "uv"
}
}
}Linux
{
"env": {
"MCP_CREWAI_ENTERPRISE_SERVER_URL": "<>",
"MCP_CREWAI_ENTERPRISE_BEARER_TOKEN": "<>"
},
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"<filepath of cloned repo>",
"/crewai_enterprise_server.py"
],
"command": "uv"
}Macos
{
"env": {
"MCP_CREWAI_ENTERPRISE_SERVER_URL": "<>",
"MCP_CREWAI_ENTERPRISE_BEARER_TOKEN": "<>"
},
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"<filepath of cloned repo>",
"/crewai_enterprise_server.py"
],
"command": "uv"
}Windows
{
"env": {
"MCP_CREWAI_ENTERPRISE_SERVER_URL": "<>",
"MCP_CREWAI_ENTERPRISE_BEARER_TOKEN": "<>"
},
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"<filepath of cloned repo>",
"/crewai_enterprise_server.py"
],
"command": "uv"
}CrewAI Enterprise MCP Server
Overview
A Model Context Protocol (MCP) server implementation that provides deployed CrewAI workflows. This server enables kicking off your deployed crew and inspect the status giving the results of your crew.
Tools
- kickoff_crew
- get_crew_status
Env Variables
retrieve from app.crewai.com
MCP_CREWAI_ENTERPRISE_SERVER_URL
MCP_CREWAI_ENTERPRISE_BEARER_TOKEN
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