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Manage Dokploy projects, apps, databases, and deployments through MCP tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Dokploy MCP Server" yet — see the docs or source repo.
Use the Dokploy MCP tools to create a new application named web-portal on the target server, connect it to the specified Git repository and main branch, and run the initial deployment. Return the app ID, deployment status, and public URL.
Returns the new app creation result, deployment progress, and key access details such as the public URL.
Using Dokploy MCP, list the existing databases, create a new PostgreSQL instance for the staging environment, and output its connection details, status, and related resource configuration.
Returns the database inventory, the new instance creation result, connection parameters, and a runtime status summary.
Use Dokploy MCP to retrieve the status of all current projects, applications, and services, identify failed deployments or unexpectedly stopped items, and compile an operations report prioritized by severity.
Outputs a structured status report with problematic items, impact scope, and the recommended handling order.
Connect Dokploy to Codex, Cursor, and Claude through an MCP server.
Secure file and directory operations for autonomous AI development workflows.
Index docs from websites, repos, and folders for AI search and retrieval.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.
Query an AI project portfolio, search by tech, and get project details.
Browse Apidog projects and create or update API requests automatically.