Google Cloud MCP Server
@lreimer
关于 Google Cloud MCP Server
A MCP server implementation for Google Cloud using Go and Cobra.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"gcp-mcp-server": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"go",
"run",
"main.go"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Google Cloud MCP Server?
A Model Context Protocol (MCP) server implementation for Google Cloud, built with Go and Cobra. It supports stdio and SSE transports and exposes operations for Projects (list, describe), Container Clusters (list, describe), and Cloud Run Services (list, describe).
How to use Google Cloud MCP Server?
Configure it as an MCP server in your client (e.g., Claude Desktop) by pointing to the binary with the --transport stdio argument. For local development, use the MCP inspector with either go run main.go (stdio) or go run main.go --transport sse (SSE). Deployment to Google Cloud Run is manual, using a Docker image or direct source build.
Key features of Google Cloud MCP Server
- Supports stdio and SSE transports
- Lists and describes Google Cloud projects
- Lists and describes Google Kubernetes Engine clusters
- Lists and describes Cloud Run services
- Built with Go and Cobra for easy extensibility
- Can be deployed to Google Cloud Run
Use cases of Google Cloud MCP Server
- Integrate Google Cloud resource queries into AI‑assisted workflows via MCP
- Allow an MCP client to inspect project, cluster, and Cloud Run details without manual gcloud commands
- Deploy as a remote SSE endpoint on Cloud Run for cloud‑native MCP access
FAQ from Google Cloud MCP Server
What dependencies or runtime does it require?
It is a Go binary with no external runtime beyond the operating system. For SSE mode, a running HTTP server is required; the README shows deployment to Google Cloud Run.
What transports and authentication are supported?
The server supports stdio and SSE transports. Authentication is handled via Google Cloud service account credentials, set as an environment variable (GOOGLE_APPLICATION_CREDENTIALS) or mounted as a secret on Cloud Run.
What data does it access?
It queries Google Cloud APIs for projects, GKE clusters, and Cloud Run services. No local data is stored; all responses come from live Google Cloud state.
Are there any known limits or missing operations?
Only three service areas are implemented: Projects (list, describe), Container (list, describe), and Cloud Run (list, describe). Other Google Cloud services are not included.
Can I run it locally without deploying to Cloud Run?
Yes. Use go run main.go locally with --transport stdio for stdin/stdout mode, or --transport sse to start an HTTP server on port 8000.
云与基础设施 分类下的更多 MCP 服务器
🐳 docker-mcp
QuantGeekDevA docker MCP Server (modelcontextprotocol)
Terraform MCP Server
hashicorpThe Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
🐋 Docker MCP server
ckreilingMCP server for Docker
GCP MCP
eniayomiA Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Google Cloud Platform environment. This allows for natural language querying and management of your GCP resources during conversations.
MCP Server that interacts with Azure AI Foundry (experimental)
azure-ai-foundryA MCP Server for Azure AI Foundry: it's now moved to cloud, check the new Foundry MCP Server
评论