What tools are provided?
The server provides `kickoff_crew` to start a crew and `get_crew_status` to check its status and results.
@crewAIInc
基本信息
MCP Server for kicking off and getting status of your crew deployments
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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": "<>"
}
}
}
}get_crew_status
A Model Context Protocol (MCP) server implementation that provides deployed CrewAI workflows. It enables kicking off your deployed crew and inspecting crew status, giving the results of your crew.
Configure the environment variables MCP_CREWAI_ENTERPRISE_SERVER_URL and MCP_CREWAI_ENTERPRISE_BEARER_TOKEN from app.crewai.com. For use with Claude Desktop, add a new MCP server using the provided JSON configuration with uv run. Locally, install mcp and mcp[cli].
kickoff_crew and get_crew_statusThe server provides `kickoff_crew` to start a crew and `get_crew_status` to check its status and results.
`MCP_CREWAI_ENTERPRISE_SERVER_URL` and `MCP_CREWAI_ENTERPRISE_BEARER_TOKEN`, both retrieved from app.crewai.com.
Add a new MCP server in Claude Desktop settings with the JSON configuration shown in the README, using `uv run` with the cloned repo path.
The bearer token is obtained from app.crewai.com.
You need to have `mcp` and `mcp[cli]` installed locally for the cloned repo method.

Model Context Protocol Servers

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