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qualityEnables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.
Last updated 10 hours ago
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Apache 2.0
Best Google Cloud MCP Servers
Google Cloud is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products. It offers a range of services including computing, data storage, data analytics, and machine learning capabilities.
Why this server?
Provides tools for deploying applications to Google Cloud Run, listing services, getting service details, creating projects, and managing cloud resources. Supports both direct file content deployment and local file/folder deployment.
Why this server?
Enables connection to Google Cloud services for storage, computation and more (mentioned as coming soon)
Why this server?
Supports authentication via Google Cloud Vertex AI Application Default Credentials for production deployments on Google Cloud infrastructure (Cloud Run, GKE, GCE).
AsecurityAlicenseAqualityProvides AI-powered image generation through Google's Gemini models (Flash and Pro) with intelligent model selection, aspect ratio control, and support for both direct Gemini API and CLIProxyAPI proxy routing.Last updated 3 months ago42MITWhy this server?
Uses Google Cloud's Custom Search API to power web search functionality, requiring API keys and search engine configuration from Google Cloud.
AsecurityAlicenseAqualityA Model Context Protocol server providing web search capabilities using Google Custom Search API and webpage content extraction functionality.Last updated 9 months ago2MITWhy this server?
Integrates with Google Cloud Vertex AI for accessing AI models (DeepSeek, Kimi, MiniMax) in a multi-candidate agentic coding pipeline with planning, code generation, and quality gating.
AsecurityAlicenseAqualityEnables agentic coding workflows in Claude Code through a multi-candidate patch evaluation loop that generates code variants, validates builds, scores results with mandatory vision testing, and automatically selects the best implementation.Last updated 13 days ago1MITWhy this server?
Integrates with Google Cloud Vertex AI models for controlling TCP devices
AsecurityAlicenseAqualityA bridge connecting physical hardware with AI large language models through the Model Context Protocol (MCP), enabling natural language control of TCP devices.Last updated a year ago38MITWhy this server?
Provides tools for querying and managing GCP resources including Artifact Registry, BigQuery, Cloud Audit Logs, Cloud Build, Compute Engine, Cloud Monitoring, Cloud Run, and Cloud Storage, enabling operations like container management, data warehousing, logging analysis, CI/CD pipeline management, VM provisioning, metrics monitoring, and serverless deployments.
AsecurityAlicenseAqualityEnables AI assistants to interact with and manage Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services through a standardized MCP interface.Last updated 4 months ago16MITWhy this server?
Integrates with Google Cloud for authentication and project configuration, allowing access to Google Cloud resources using service account credentials.
MITWhy this server?
Provides tools for managing Google Cloud Dataproc clusters and jobs, including cluster creation/deletion, job submission (Spark, PySpark, Hive, Hadoop), and serverless batch operations.
AsecurityAlicenseAqualityEnables AI assistants to manage Google Cloud Dataproc clusters and jobs through a standardized interface. Supports cluster creation/deletion, job submission (Spark, PySpark, Hive, etc.), and serverless batch operations.Last updated 5 months ago13MIT
