# com.googleapis.run/mcp

> Use this tool when you need to deploy and manage containerized applications with automated scaling and secure networking. It solves problems such as manual infrastructure management, scaling, and security configuration, allowing for seamless deployment of stateless web applications and APIs. With container images as input, Cloud Run provides a fully managed platform with HTTP endpoints as output, ideal for use cases like real-time data processing, webhooks, and serverless architectures.

Canonical page: https://skillsregistry.net/skills/com-googleapis-run-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-googleapis-run-mcp

## Description

Deploy applications to Cloud Run.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 2.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-18

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.googleapis.run%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://run.googleapis.com/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-googleapis-run-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-googleapis-run-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-googleapis-run-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt