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.
Provides tools for managing Chrome Enterprise Premium resources, including DLP rules, content detectors, connector policies, browser telemetry, and license management, allowing AI agents to inspect and configure Chrome Enterprise environments.
A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.
25
35
9
Apache 2.0
Why this server?
Enables interaction with Google Merchant Center API via a Google Cloud project, allowing management of products, feeds, and account information.
Provides free EagleView-style satellite roof measurements and modular Xactimate-style estimating from Google Solar API data, enabling contractors to generate reports and estimates from any address.
3
MIT
Why this server?
Analyzes Google Cloud integration in a Symfony project, including Cloud Run, Storage, and other services.
Enables AI assistants to perform read-only introspection of Symfony applications, exposing routes, controllers, services, entities, database schema, migrations, logs, and more via MCP tools.
10
5
62
MIT
Why this server?
Provides access to Google Cloud data through the DoiT API, including cloud incidents, assets, invoices, and cost analytics for Google Cloud projects and services.
Provides LLMs with access to the DoiT API for managing cloud resources, analyzing costs, and handling support tickets via natural language.
168
3,548
13
MIT
Why this server?
Provides access to Google Cloud Platform documentation through search and content extraction tools, supporting 20+ GCP products including Compute Engine, Cloud Storage, BigQuery, GKE, Cloud Functions, and more. Enables querying documentation with natural language, fetching specific documentation pages, listing supported products, and accessing REST API references.
Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.
2
4
MIT
Why this server?
Provides an Open Knowledge Format bundle for Google Cloud Knowledge Catalog, allowing ingestion of TempGuru's staffing data into Google Cloud.
MCP server for W-2 event staffing across 300+ US and Canadian markets. Five read-only lookups (city coverage, staffing roles, all-inclusive W-2 rate ranges, lead-time guidance, and state-by-state compliance) plus an opt-in request_quote tool that submits a structured staffing request to TempGuru for a human-reviewed quote. No authentication required; connect with the URL alone.
12
221
2
MIT
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.
Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.
8
2,123
627
Apache 2.0
Why this server?
Leverages Vertex AI infrastructure, specifically Discovery Engine for enterprise search and managed generative model deployment.
