"Information about Google ADK" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
kad.dev puts the apps you make with Claude on the web. You say what you want. Claude builds it and puts it online at its own address. You do not need to know how servers work. Your app gets its own web address. It stays private until you choose to share it. You can also use a domain name you own, like www.yourname.com. It can have a database that remembers what people enter, such as sign-ups, orders and notes, and storage for the photos and files your visitors upload. A Google sign-in lock lets in anyone with a Google account, or only the people you name. For a simple site, a change shows in a private preview within seconds, before it goes live. Every change you publish is saved as its own version, with its own private address. If something goes wrong, go back to an earlier one. If something breaks, Claude can read the error message, so it can be fixed in the same conversation. Access: you sign in with your kad.dev account and choose what Claude may do. Claude can always look at your apps. Changing or publishing them is a separate permission. Claude only sees your own projects. You can remove access at any time from your kad.dev account. Hosted in Europe. Requirements: a kad.dev account.
Deploy and run apps in your own AWS, Google Cloud, Azure or DigitalOcean account from any AI agent.
Create, build and hand over real WordPress sites, hosted by Oxyforge on Google Cloud.
Google Cloud Billing BigQuery export reporting through a user-connected service account.
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
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.
Unlock the power of DNS lookups with our DNS Lookup service using Google DNS-over-HTTPS. Whether
Interact with your Google Cloud Datastream resources using natural language commands.
Interact with your Google Bigtable resources using natural language commands.
Create, manage, and query your Google Cloud SQL resources.
Deploy applications to Cloud Run
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.
Interact with your Google Cloud Firestore resources using natural language commands.
Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f
Ask about AWS, Azure, GCP, OpenAI, Anthropic and Snowflake costs, budgets, and anomalies.
Agent-first hosting: create apps, push code, and deploy to HTTPS URLs from your coding agent.
Ask about Vercel Web Analytics and Speed Insights across all your projects and boards.
Interact with your Google Cloud Composer resources using natural language commands.
Ask about your customers' Azure costs, compliance and Microsoft 365 security.
Google OAuth LangChain Agent
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.
Streamable HTTP MCP server for Google Calendar and Sheets with OAuth login.
