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.
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
117 npm
2
MIT
Why this server?
Integrates with Google Cloud's Geocoding API and Solar API to retrieve address geocoding and 3D building elevation data for roof measurements.
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?
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
22,304 npm
633
Apache 2.0
Why this server?
Integrates with Google Cloud Console for YouTube Data API v3 key management and quota monitoring.
High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.
8
9
405 npm
29
MIT
Why this server?
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
23 npm
12
Apache 2.0
Why this server?
Allows deploying code to Google Cloud Run, managing services, and retrieving service details and logs.
Enables MCP-compatible AI agents to deploy and manage applications on Google Cloud Run, including service deployment, listing, logging, and project creation.
8
6 npm
Apache 2.0
Why this server?
Lets AI agents manage Google Cloud Platform resources including projects, IAM, service accounts, and APIs via direct GCP REST API calls.
Enables 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.
33
1,820 npm
MIT
Why this server?
Provides read-only tools for investigating incidents, taking inventory, and surfacing cost-optimization opportunities in Google Cloud projects, using APIs for logging, monitoring, error reporting, resource inventory, cost recommendations, and more.
A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.
16
28 PyPI
2
MIT
Why this server?
Allows read-only querying of a Google Cloud SQL Postgres database with tools for listing schemas, tables, describing columns, sample rows, and running read-only SQL queries.
