GCP MCP

@eniayomi

About GCP MCP

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.

#gcp #mcp #google-cloud #ai-assistant

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "gcp": {
      "command": "npx",
      "args": [
        "-y",
        "gcp-mcp"
      ]
    }
  }
}

Tools

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

Overview

What is GCP MCP?

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.

How to use GCP MCP?

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".

Key features of GCP MCP

Query and modify GCP resources using natural language
Support for multiple GCP projects
Multi-region support
Secure credential handling (credentials never exposed to external services)
Local execution with your GCP credentials
Automatic retries for improved reliability

Use cases of GCP MCP

List all GCP projects you have access to
Check billing status, cost forecasts, and budgets
View Cloud Logging entries for a project
List GKE clusters, Cloud SQL instances, and Cloud Run services
Query BigQuery datasets and tables

FAQ from GCP MCP

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.

How are my GCP credentials handled?

Credentials are never exposed to external services; the server runs locally using your own GCP credentials.

What tools does GCP MCP provide?

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.

Where can I find logs for troubleshooting?

Server logs are stored in ~/Library/Logs/Claude/mcp-server-gcp.log and can be tailed for debugging.

How do I authenticate and resolve permission errors?

Run gcloud auth application-default login. If you encounter permission errors, check your IAM roles and verify that required APIs are enabled in your project.

Frequently asked questions

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`.

How are my GCP credentials handled?

Credentials are never exposed to external services; the server runs locally using your own GCP credentials.

What tools does GCP MCP provide?

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`.

Where can I find logs for troubleshooting?

Server logs are stored in `~/Library/Logs/Claude/mcp-server-gcp.log` and can be tailed for debugging.

How do I authenticate and resolve permission errors?

Run `gcloud auth application-default login`. If you encounter permission errors, check your IAM roles and verify that required APIs are enabled in your project.

Comments

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