"Translation service or tool" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.
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 Free trial 14 days, 250 USD / month up to 10M Spend
Deploy a GitHub repo to a live HTTPS URL from your AI tool; read logs, set variables, resize apps.
Provision, SSH into, run commands on, and manage Linux VPSes from an AI agent. Pay USDC over x402 (Base) or by card over HTTP 402, a running box in under 60s. No signup, no API key to buy. This remote endpoint offers free browse/discovery, quotes, and server status.
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.
Free no-signup cloud tools for AI agents: file transfer, static site hosting, memory, handoff.
Deploy HTML or dist/ to a live HTTPS URL. No account. Drop, MCP, or CLI.
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Google Cloud Billing BigQuery export reporting through a user-connected service account.
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Hosting for AI agents: publish a live website in one tool call, ephemeral or forever.
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Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Unlock the power of DNS lookups with our DNS Lookup service using Google DNS-over-HTTPS. Whether
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.
