MCP server
Google Cloud Run
com.googleapis.run/mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Deploy applications to Cloud Run
Working at last checkVerified publisher: googleapis.comAbout 6,445 tokens per request once connected5 tools
https://run.googleapis.com/mcp
At a glance
- Type
- MCP server
- Publisher
- googleapis.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 6,445 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http googleapis https://run.googleapis.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.googleapis] url = "https://run.googleapis.com/mcp"
Gemini CLI
{"mcpServers":{"googleapis":{"httpUrl":"https://run.googleapis.com/mcp"}}}
Cursor
{"mcpServers":{"googleapis":{"url":"https://run.googleapis.com/mcp"}}}
VS Code
{"servers":{"googleapis":{"type":"http","url":"https://run.googleapis.com/mcp"}}}
Antigravity
agy mcp add googleapis https://run.googleapis.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"googleapis","server_url":"https://run.googleapis.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"googleapis","server_url":"https://run.googleapis.com/mcp"}
Tools
deploy_service_from_archive~2462 tokens
Deploy a Cloud Run service directly from a self-contained source code archive (.tar.gz), skipping the container image build step for faster deployment. The archive must include all dependencies: - For compiled languages (Go, Java), include pre-compiled binaries. - For scripting languages (Python,deploy_service_from_file_contents~2256 tokens
Deploys a Cloud Run service directly from local source files. This method is suitable for scripting languages like Python and Node.js, of which the source code can be embedded in the request. This is ideal for quick tests and development feedback loops. You must include all necessary dependencies wideploy_service_from_image~1432 tokens
Deploy a container image from Artifact Registry or Docker Hub as a Cloud Run service.get_service~163 tokens
Get info about a Cloud Run service, such as its URI and whether the deploy succeeded.list_services~132 tokens
List Cloud Run services in a given Google Cloud project and region.
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