"author:googleapis" matching MCP connectors:
The Google Maps MCP server is a fully-managed server provided by the Maps Grounding Lite API that connects AI applications to Google Maps Platform services. It provides three main tools for building LLM applications: searching for places, looking up weather information, and computing routes with details like distance and travel time. The server acts as a proxy that translates Google Maps data into a format that AI applications can understand, enabling agents to accurately answer real-world location and travel queries.
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Ground your AI applications with trusted geospatial data from Google Maps.
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Provides access to Google's public developer documentation.
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Interact with your Google Cloud Composer resources using natural language commands.
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Interact with your Google Cloud Datastream resources using natural language commands.
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Interact with your Google Bigtable resources using natural language commands.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
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Provides read access to your GKE and Kubernetes resources.
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Gain visibility into the performance, availability, and health of your apps and infrastructure.
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Provides capabilities that let LLM agents perform a range of infrastructure management tasks.
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Provides tools to manage Memorystore for Valkey instances and backups.
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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Interact with your Google Cloud Firestore resources using natural language commands.
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Provides UX capabilities to enhance the design output and understanding of AI systems.
Remote enterprise management of Android devices and apps
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.