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mangrove-mcp lets AI agents such as Claude Code, Claude Desktop and claude.ai operate Mangrove through the Model Context Protocol.

Tools

It’s an operations surface. There are deliberately no tools to delete anything, create deployments from scratch, install templates, manage users or secrets, or change domains: the actions hardest to undo if a model misreads a situation. There’s no interactive shell either; run_command returns output when the command finishes. The agent acts as the account it signs in with, and the API applies that account’s roles. Give it a dedicated account with only the workspace roles it needs.

Local: Claude Code and Claude Desktop

The default transport is stdio: the client starts mangrove-mcp itself.
For Claude Code, put that in .mcp.json or use claude mcp add. Leave out the email and password if ~/.mangrove/session already holds a session from mangrovectl login. The password is read once at startup. It’s never a tool argument, so it can’t end up in a transcript.

Remote: claude.ai

claude.ai can’t start local processes, so it needs an HTTPS URL. Run mangrove-mcp as a service in HTTP mode:
  1. Install deploy/systemd/mangrove-mcp.service (its comments have the steps) next to mangrove.service.
  2. Put a reverse proxy with HTTPS in front of 127.0.0.1:7778, the same way you expose the dashboard.
  3. In claude.ai: Settings → Connectors → Add custom connector, with the URL https://<your-host>/mcp/<token>.
The URL is the password. Only /mcp/<token> answers; every other path, including a wrong token, returns 404. Anyone with the URL can redeploy, roll back and run commands. To revoke access, change MANGROVE_MCP_URL_TOKEN, restart the service, and update the connector. The service signs in again every 24 hours, so it never goes stale. More detail: clients.md.