pulsemcp Safe content atomic mcp-remote

CrewAI Enterprise

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.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/crewaiinc/enterprise-mcp-server
Author type: human
Updated: 2026-05-13

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MCP

Resolve CrewAI Enterprise from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"