The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.

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Description: MCP server providing real-time data center intelligence. Query 20,000+ facilities across 140+ countries, track $185B+ in M&A transactions, analyze grid fuel mix from 7 US ISOs, score locations for data center suitability, and get industry news from 60+ sources.

Pace is a remote MCP server that exposes wearable and fitness data to Claude via the Model Context Protocol. It connects to Garmin, Oura, Whoop, Polar, Fitbit and 20+ devices and provides 15 tools for querying sleep, activity, recovery, and training data. Hosted on Google Cloud Run, OAuth 2.1 authentication, Streamable HTTP transport. Instructions: First you need to create an account at: https://pacetraining.co and connect your wearables. After that you can connect the remote Server via Custom Connector in Claude and OAuth 2.1 Flow startet.

Real-time data API for AI Agents. 10 MCP tools covering A-share stock quotes, market overview, fund data, web search, news, weather, logistics tracking, and IP geolocation.

Search and list latest international news (sources, comments, knowledge graph).