"Google Apps Script" matching MCP connectors:
Matching Connector Tools:
Build, deploy, and operate hosted web apps on VibeKit (vibekit.bot) from any MCP client.
Deploy a GitHub repo to a live HTTPS URL from your AI tool; read logs, set variables, resize apps.
Unlock the power of DNS lookups with our DNS Lookup service using Google DNS-over-HTTPS. Whether
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
B2B MCP server that lets business operators launch and operate complete branded taxi / food delivery / LP gas / on-demand apps from a single conversation. Multi-tenant, OAuth 2.1, 87+ active operators across 14 LATAM countries.
EU-native PaaS for AI agents — deploy web apps with one sentence, managed Postgres, GDPR by default.
Interact with your Google Cloud Datastream resources using natural language commands.
Interact with your Google Bigtable resources using natural language commands.
AI first app deployment, unlike lovable or figma make, webslop.ai lets you or your ai of choice setup node.js apps or static sites in seconds. Designed be be the perfect place for you to deploy websites and apps super fast to the rest of the world and has a generous free tier.
Interact with your Google Cloud Firestore resources using natural language commands.
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 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.
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.
Build personal interactive apps with real URLs and persistent storage, using any AI.
Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.
Agent-first hosting: create apps, commit code, deploy, get HTTPS URLs. OAuth sign-in, no tokens.
Manage Scalingo PaaS apps, deployments, containers, logs and env vars from your AI assistant.