A comprehensive Model Context Protocol (MCP) server implementation for Google Cloud Platform (GCP) services, enabling AI assistants to interact with
A comprehensive Model Context Protocol (MCP) server implementation for Google Cloud Platform (GCP) services, enabling AI assistants to interact with and manage GCP
The implementation follows the MCP specification to enable AI systems to interact with GCP services in a secure, controlled manner.
The server publishes 3 tools. What each one is for:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — 1. Clone the repository: bash git clone https://github.com/yourusername/gcp-mcp-server.git cd gcp-mcp-serverUsage — Add this configuration to your MCP configuration file to enable GCP Cloud Tools functionalityCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"GCP Cloud Tools": {
"command": "uv",
"args": [
"run",
"--with",
"google-cloud-artifact-registry>=1.10.0",
"--with",
"google-cloud-bigquery>=3.27.0",
"--with",
"google-cloud-build>=3.0.0",
"--with",
"google-cloud-compute>=1.0.0",
"--with",
"google-cloud-logging>=3.5.0",
"--with",
"google-cloud-monitoring>=2.0.0",
"--with",
"google-cloud-run>=0.9.0",
"--with",
"google-cloud-storage>=2.10.0",
"--with",
"mcp[cli]",
"--with",
"python-dotenv>=1.0.0",
"mcp",
"run",
"C:\\Users\\enes_\\Desktop\\mcp-repo-final\\gcp-mcp\\src\\gcp-mcp-server\\main.py"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "C:/Users/enes_/Desktop/mcp-repo-final/gcp-mcp/service-account.json",
"GCP_PROJECT_ID": "gcp-mcp-cloud-project",
"GCP_LOCATION": "us-east1"
}
}
}
}Maintainer configuration example. Replace example paths and credential placeholders before connecting.
| Variable | Description | Required |
|---|---|---|
| GOOGLE_APPLICATION_CREDENTIALS | Configuration value read at startup. | Optional |
| GCP_PROJECT_ID | Configuration value read at startup. | Optional |
| GCP_LOCATION | Configuration value read at startup. | Optional |
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