The Google Cloud MCP server lets AI agents manage and analyze GCP resources. It exposes tools for handling compute, storage, and AI/ML services. It connects to GCP APIs for Cloud Functions, BigQuery, and Vertex AI. Developers use it to automate cloud resource management and data analysis tasks with natural language commands.
The Google Cloud MCP server lets AI agents manage and analyze GCP resources. It exposes tools for handling compute, storage, and AI/ML services. It connects to GCP APIs for Cloud Functions, BigQuery, and Vertex AI. Developers use it to automate cloud resource management and data analysis tasks with natural language commands.
npx -y google-cloud-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"krzko-google-cloud-mcp-github": {
"command": "npx",
"args": [
"-y",
"npx -y google-cloud-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from google cloud mcp?"
API Key Required
This server requires an API key from google cloud mcp. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| GOOGLE_CLOUD_MCP_API_KEY | Yes | Your google cloud mcp API key |
"What resources are available in google cloud mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in google cloud mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in google cloud mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.