mcpbeat

Google Cloud Run MCP Server

by googleapis-run
answering

Google Cloud Run is answering right now. Last checked 3 min ago. It exposes 5 tools.

Deploy applications to Cloud Run

Uptime history 61 hours of history
61 hours agonow
100.0%
Uptime 24h
92 of 92 checks
5
Tools
read from the server
259 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

run in your terminal
claude mcp add mcp --transport http https://run.googleapis.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://run.googleapis.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://run.googleapis.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://run.googleapis.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://run.googleapis.com/mcp"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

deploy
deploy_service_from_archive
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, Node.js), include pre-installed libraries (e.g., vendor/, node_modules/). Deployment steps: 1. Package source code and dependencies into a .tar.gz archive (max 250MiB). It's recommended to create archive from the root of the application's source directory. 2. Upload the archive to a Google Cloud Storage bucket, preferably in the same region as the service. 3. Deploy to Cloud Run using this tool, specifying: - source_code: Google Cloud Storage object path to the archive (e.g., gs://bucket/object). - command: Command to start the application. - base_image_uri: Base image for the container (e.g., go124, nodejs24, python314). See https://docs.cloud.google.com/run/docs/configuring/services/runtime-base-images for options. The runtime picked should match the local environment. - args: (Optional) Arguments for the command. - env: (Optional) Environment variables (e.g., name: `PYTHONPATH`, value: `./vendor`). - ports: (Optional) Container ports to expose (defaults to 8080).
deploy_service_from_file_contents
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 within the source files because it skips the build step for faster deployment. **Key Requirements:** 1. source_code: Should set to sourceCode.inlinedSource.sources with array of source files, each having `filename` and `content`. 2. Size limit: you are subject to total request size limit of 50MiB.
deploy_service_from_image
Deploy a container image from Artifact Registry or Docker Hub as a Cloud Run service.
service
get_service
Get info about a Cloud Run service, such as its URI and whether the deploy succeeded.
services
list_services
List Cloud Run services in a given Google Cloud project and region.

Endpoints

URLTransportStateLatencyChecked
https://run.googleapis.com/mcp streamable-http answering 253 ms 3 min ago

Alternatives to Google Cloud Run

same job, measured the same way
C
Googleapis
by googleapis-mapstools

Ground your AI applications with trusted geospatial data from Google Maps.

5 tools answering
Remote Filesystem
by pulsemcp

MCP server for remote filesystem operations on cloud storage (Google Cloud Storage).

304 installs/wk local only
C
Googleapis
by googleapis-developerknowledge

Provides access to Google's public developer documentation.

3 tools answering
C
Googleapis
by googleapis-sqladmin

Create, manage, and query your Google Cloud SQL resources.

15 tools answering
Google Docs
by domdomegg

Allow AI systems to read and edit Google Docs.

58 installs/wk local only
Gsearch
by daanielcruz

Free Google Search with inline citations for any MCP-compatible AI tool.

49 installs/wk local only
Photo Organizer
by expertvagabond

AI-powered organization for Google Photos and Drive - auto-organize, find duplicates, create albums

50 installs/wk local only
Gcs
by pulsemcp

MCP server for Google Cloud Storage with fine-grained tool access control.

99 installs/wk local only

Google Cloud Run — questions

Answers built from our own checks of this server.

What can Google Cloud Run do?
It exposes 5 tools, read directly from the server on our last check. Among them: deploy_service_from_archive, deploy_service_from_file_contents, deploy_service_from_image, get_service, list_services. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Google Cloud Run working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 259 ms. The bar chart above shows every period we have measured.
How do I connect Google Cloud Run?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Google Cloud Run need an API key?
No. Google Cloud Run completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Google Cloud Run?
It answers our handshake in 259 ms on average, which is faster than 54% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.