What are the prerequisites for running GCP MCP?
Node.js, a supported AI assistant (Claude Desktop, Cursor, or Windsurf), and locally configured GCP credentials via `gcloud auth application-default login`.
@eniayomi
基本情報
A 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.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"gcp": {
"command": "npx",
"args": [
"-y",
"gcp-mcp"
]
}
}
}Run GCP code
List all GCP projects accessible with current credentials
Selects GCP project to use for subsequent interactions
Get billing information for the current project
Get cost forecast for the current project
Get billing budgets for the current project
List all GKE clusters in the current project
List all Cloud SQL instances in the current project
Get Cloud Logging entries for the current project
GCP MCP is a Model Context Protocol server that lets AI assistants such as Claude interact with your Google Cloud Platform environment through natural language queries and management commands. It runs locally using your own GCP credentials and supports multiple GCP projects and regions.
Install the package via npm or clone the repository, then configure it in Claude Desktop, Cursor, or Windsurf by adding the provided JSON entry to the respective MCP configuration file. Ensure you have set up GCP application default credentials using gcloud auth application-default login. Once configured, you can ask natural language questions like "List all GCP projects" or "Show me Cloud SQL instances".
Node.js, a supported AI assistant (Claude Desktop, Cursor, or Windsurf), and locally configured GCP credentials via `gcloud auth application-default login`.
Credentials are never exposed to external services; the server runs locally using your own GCP credentials.
The server offers tools such as `run-gcp-code`, `list-projects`, `select-project`, `get-billing-info`, `get-cost-forecast`, `get-billing-budget`, `list-gke-clusters`, `list-sql-instances`, and `get-logs`.
Server logs are stored in `~/Library/Logs/Claude/mcp-server-gcp.log` and can be tailed for debugging.
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