Discover available Google Cloud products and their documentation paths to explore services or find correct product IDs for further research.
MIT
530,052 tools. Updated 2026-09-07 18:52
"Google Cloud Platform (GCP) resources and information" matching MCP tools:
- Retrieve REST API documentation for Google Cloud services to access endpoints, methods, and parameters for integration development.MIT
- Analyze cloud costs, generate breakdowns, view spending trends, and run custom analytics across AWS, GCP, Azure. Configure source, metrics, dimensions, time range, filters for per-service insights.MIT
- Test SSRF vulnerabilities by accessing cloud metadata endpoints (AWS/GCP/Azure) to identify potential exposure of IAM credentials and instance data.MIT
- Check active cloud service outages and incidents across AWS, Google Cloud, and Azure to identify disruptions affecting your resources.MIT
- Retrieve the list of supported cloud providers (AWS, GCP, Azure) with available services, regions, and last pricing update.MIT
Matching MCP Servers
- AlicenseCqualityDmaintenanceEnables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.401Apache 2.0
- AlicenseAqualityCmaintenanceEnables AI agents to manage Google Cloud Platform resources including projects, IAM, service accounts, and APIs directly through GCP REST APIs without requiring gcloud CLI or Terraform.333,857MIT
Matching MCP Connectors
Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.
- google-flightsOAuth
Google Flights search data: fares, routes, stops, and price insights via a hosted MCP server.
- Retrieve detailed information about a specific CloudFlow provider connection by its ID, including GCP/AWS configuration, collaborators, and status.MIT
- Search Google Cloud documentation to find configuration guides, best practices, and troubleshooting steps for GCP services like Compute Engine, Cloud Storage, BigQuery, and Kubernetes.MIT
- Delete a Bult service and remove its cloud hosting deployment resources.MITDestructive
- Initiate the creation of a new Google Cloud Platform (GCP) project, optionally specifying a project ID or allowing auto-generation, and link it to the first available billing account.Apache 2.0
- Retrieves and displays a list of available Google Cloud Platform (GCP) projects to facilitate deployment and management tasks on the Cloud Run MCP Server.Apache 2.0
- Create a new cloud asset by specifying its type, account, and customer context. Use DoiT MCP Server to provision resources in your cloud environment through natural language.MITDestructive
- Retrieve cloud resources from env0 using filters like provider, region, service, and drift status. Query resources across AWS, GCP, or Azure to identify IaC-managed or unmanaged assets.Apache 2.0
- Connect a Google Cloud billing account using existing local credentials. Lists available billing accounts, then links your chosen one for FinOps cost analysis.Apache 2.0
- Inspect deployed GCP infrastructure after a deployment attempt. Fetches read-only credentials and queries the GCP API to return summary or detailed resource information.Apache 2.0
- Find cloud resources across GCP projects using Cloud Asset Inventory. Filter by asset type, query, or environment to locate specific resources for incident investigation or inventory.MIT
- Detect all configured cloud providers and their regions across AWS, GCP, Azure, and Oracle in a single call. Returns provider list with source indication and guidance.MIT
- Retrieve clean, formatted Google Cloud Platform documentation by extracting and converting content from cloud.google.com into markdown format for setup instructions, usage examples, and API details.MIT
- Find Google Cloud Platform services and documentation by searching local mappings, official websites, and API repositories to identify relevant GCP tools for specific use cases.MIT
- Compare managed PostgreSQL database pricing across AWS, Azure, GCP, and OCI by specifying vCPUs, memory, and storage to find the cheapest option per cloud.MIT
- Monitor infrastructure health and GCP services, track file changes, and generate strategic reports for operational awareness.MIT