Render MCP Server
The Render MCP server lets AI coding tools manage Render services, databases, deploys, logs, and metrics directly. This skill covers setup, authentication, workspace selection, the tool catalog, and troubleshooting.
Action skills (render-deploy, render-debug, render-monitor) use MCP tools for their workflows. If MCP is not connected, set it up using this skill first.
When to Use
list_services()fails or MCP tools are unavailable- First-time Render MCP setup for any AI tool
- User asks how to connect their AI tool to Render
- Switching workspaces or troubleshooting auth errors
- Discovering which MCP tools exist and what they do
Connection Details
Setup by Tool
Render plugin (recommended)
The Render plugin for Cursor, Codex, and Claude Code bundles this MCP server with a pre-registered OAuth client id, so no API key is needed. After installing or updating the plugin, reload the tool (restart Cursor or Claude Code, or start a new Codex thread) so it loads the plugin-provided MCP server, then complete the Render OAuth prompt the first time MCP tools are used. Verify with list_services().
The manual, API-key setups below are for tools without the plugin or for custom MCP configurations.
Cursor
-
Get an API key from the Render Dashboard
-
Add to
~/.cursor/mcp.json:
- Restart Cursor, then verify with
list_services()
Claude Code
-
Get an API key from the Render Dashboard
-
Add the MCP server:
- Restart Claude Code, then verify with
list_services()
Codex
-
Get an API key from the Render Dashboard
-
Set the key in your shell:
- Add the MCP server:
- Restart Codex, then verify with
list_services()
Other Tools
For tools not listed above, use the generic HTTP MCP configuration:
- URL:
https://mcp.render.com/mcp - Auth header:
Authorization: Bearer <YOUR_API_KEY> - Transport: HTTP (streamable HTTP, not SSE)
See Render MCP docs for tool-specific instructions.
Workspace Selection
After MCP is connected, set the active workspace:
Or programmatically:
All MCP operations run against the active workspace.
Tool Catalog
Service management
Deploys
Logs
Key filters: level (error, warn, info), type (build, deploy), text (search string), statusCode (HTTP codes).
Metrics
Metric types: cpu_usage, memory_usage, cpu_limit, memory_limit, http_latency, http_request_count, active_connections.
Optional: httpLatencyQuantile (0.5, 0.95, 0.99), httpPath (filter by endpoint).
Databases
Key Value
Environment Variables
Workspace
Common Mistakes
Troubleshooting
See references/troubleshooting.md for connection errors, auth failures, timeout issues, and tool-specific quirks.
References
Related Skills
- render-deploy — Deploy flows using MCP tools
- render-debug — Debug failures using MCP logs and metrics
- render-monitor — Monitor health using MCP metrics
- render-cli — CLI alternative when MCP is unavailable
