# CrewAI Enterprise

> Use this tool when you need to automate complex tasks by delegating them to specialized agent teams, and monitor their execution status in real-time. CrewAI Enterprise MCP Server provides a bridge to deployed workflows, enabling AI assistants to kickoff and track crew tasks with custom inputs. It is ideal for use cases that require seamless agent collaboration and task delegation, with inputs including custom task parameters and outputs including real-time execution status updates.

Canonical page: https://skillsregistry.net/skills/crewai-enterprise  
JSON: https://api.skillsregistry.net/v1/skills/crewai-enterprise

## Description

CrewAI Enterprise MCP Server provides a bridge to deployed CrewAI workflows, enabling AI assistants to kickoff crews and monitor their execution status. The server exposes two main tools: kickoff_crew for starting new crew tasks with custom inputs, and get_crew_status for checking the progress of running crews. Built with FastMCP, it communicates with the CrewAI Enterprise backend using environment variables for authentication and server URL configuration. This implementation is particularly valuable for workflows that benefit from CrewAI's agent collaboration capabilities without leaving the Claude Desktop interface, allowing seamless delegation of complex tasks to specialized agent teams.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-13

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/crewai-enterprise)
- **Repository:** <https://github.com/crewaiinc/enterprise-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "crewai-enterprise"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crewai-enterprise` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crewai-enterprise/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt