"Google Assistant" matching MCP connectors:

Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.

Unlock the power of DNS lookups with our DNS Lookup service using Google DNS-over-HTTPS. Whether

Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f

Manage Scalingo PaaS apps, deployments, containers, logs and env vars from your AI assistant.

Inspect and control your Northflank projects, services, jobs, and builds from your AI assistant.

Manage Laravel Forge servers, sites, and deployments from your AI assistant.

Create, manage, and query your Google Cloud SQL resources.

Interact with your Google Cloud Datastream resources using natural language commands.

Interact with your Google Bigtable resources using natural language commands.

Interact with your Google Cloud Firestore resources using natural language commands.

Deploy applications to Cloud Run

The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.

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.

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.

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.

Ask your AI assistant a cost question. Get allocation, correlation, and explanation in one response. Costory connects Claude, Codex, or Cursor to normalized cost data across AWS, GCP, Azure, Datadog, OpenAI, and Anthropic. https://costory.io

Manage Rackspace Spot Kubernetes Cloudspaces, node pools, and VMs from your AI assistant.

Interact with your Google Cloud Composer resources using natural language commands.

European cloud hosting. Deploy and manage apps with your favorite AI coding assistant.

Streamable HTTP MCP server for Google Calendar and Sheets with OAuth login.