gcp-mcp

# GCP MCP Application This application provides a comprehensive set of tools for interacting with Google Cloud Platform (GCP) services through the MCP (Model Calling Protocol) interface. It's designed to be used with AI assistants like Claude to provide a natural language interface to GCP services. ## Features The application is organized into modules that cover different aspects of GCP: ### Resource Management - List GCP projects - Get detailed information about a GCP project - List all assets in a GCP project using Cloud Asset Inventory - Set a quota project for Google Cloud API requests ### IAM (Identity and Access Management) - Check IAM permissions in a GCP project ### Compute Engine - List Compute Engine instances in a GCP project - Get detailed information about a specific instance - Start/stop/delete instances - List available machine types in a zone - List persistent disks - Create new instances - Create and list disk snapshots ### Storage - List Cloud Storage buckets in a GCP project ### Billing - Get billing information for a GCP project ### Networking - List VPC networks in a GCP project - Get VPC network details - List subnets - Create and list firewall rules - List enabled services/APIs in a GCP project ### Kubernetes Engine (GKE) - List Kubernetes clusters in a GCP project ### Monitoring - List available monitoring metrics - Get active monitoring alerts - Create alert policies - List uptime checks ### Databases - List Cloud SQL instances - Get SQL instance details - List databases - Create backups - List Firestore databases and collections ### Deployment (Coming Soon) - Deployment manager and infrastructure as code ## Installation 1. Clone the repository: ```bash git clone <repository-url> cd <repository-directory> ``` 2. Create and activate a virtual environment: ```bash python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate ``` 3. Install the package and its dependencies: ```bash pip install -e . ``` …