What problem does it solve? AI coding tools cannot manage Render services, deploys, logs, or metrics until the Render MCP server is connected and authenticated. This Skill removes the guesswork of configuring MCP across different tools, fixing failed list_services() calls, auth errors, and workspace confusion. ## Core Features & Use Cases - Per-tool setup guides: Step-by-step MCP configuration for Cursor, Claude Code, Codex, and generic HTTP MCP clients, including the correct streamable HTTP endpoint and Bearer token headers. - Tool catalog reference: Documents every MCP tool for services, deploys, logs, metrics, Postgres, Key Value, environment variables, and workspaces. - Troubleshooting reference: Diagnoses connection errors, 401/403 auth failures, wrong-workspace issues, and tool-specific quirks, with a CLI fallback matrix. - Use Case: Your AI assistant reports that list_services() fails. Use this Skill to add the Render MCP server to your tool's config with a valid API key, select the correct workspace, and verify the connection. ## Quick Start Ask the AI to set up the Render MCP server in your coding tool using your Render API key and then verify the connection by listing services.