"Bun" matching MCP servers:

Enables MCP-compatible AI agents to deploy and manage applications on Google Cloud Run, including service deployment, listing, logging, and project creation.

Enables AI assistants to manage Bunny.net services such as pull zones, DNS, storage, video streaming, edge scripting, security, and Magic Containers through natural language.

Enables interaction with Bunny.net APIs for Stream/Video, Storage, CDN Pull Zones, and DNS services. Provides 35 tools for managing video libraries, files, CDN configurations, and DNS records through Claude.

A Model Context Protocol server implementation using Node.js, TypeScript, and Bun, designed for serverless and edge deployments on Vercel and Cloudflare.

A secure MCP server example that demonstrates how to deploy to Google Cloud Run with authentication and identity token protection. Serves as a tutorial template for building production-ready MCP servers in the cloud.

Enables AI agents to browse, price, rent, manage, and stop GPUs, top up balances via x402, and register their own accounts, with read-only defaults until spending is explicitly enabled.

Publishes static sites to Drop2Run from an AI agent: hand it files written in the chat or a folder on disk, and it returns a live HTTPS URL. Six tools — publish_files, publish_dir, list_sites, delete_site, and login / login_code — with no git, no build step and no repository.

MCP server for Azure Service Bus that enables sending messages, inspecting queues and subscriptions, and purging test data. Complements the built-in Azure MCP server by adding write operations.

Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.

A local MCP server that integrates with Claude Desktop, enabling RAG capabilities to provide Claude with up-to-date private information from custom LlamaCloud indices.

A FastMCP-based server that provides tools for retrieving animal species lists and specific animal details from a fictional zoo. It serves as a reference for deploying and securing Model Context Protocol servers on Google Cloud Run.

Enables management of GCP resources and integration with AI development tools via a stateless MCP server hosted on Cloud Run.

A secure MCP (Model Context Protocol) server hosted on Google Cloud Run that enables team collaboration by providing authenticated access via Google Cloud IAM, allowing teams to share custom MCP servers over the internet before official MCP authentication is implemented.

Next.js-based MCP server with OAuth 2.1 authentication, deployable on Vercel, supporting SSE and Streamable HTTP transports for various clients.

Enables interaction with Google Cloud Platform services through gcloud CLI commands via a Cloud Run deployed MCP server. Supports executing gcloud commands and managing GCP resources through natural language.

Deploys an MCP server on Azure Container Apps that exposes Azure ML managed online endpoints as tools, enabling AI agents like Azure AI Foundry to invoke machine learning models via natural language.

Provides Google Maps functionality through Cloud Run, enabling route calculation, traffic analysis, route comparison, and trip cost estimation with rate-limited public access.

Enables deploying a remote MCP server without authentication on Cloudflare Workers, supporting custom tools and integration with Cloudflare AI Playground and Claude Desktop.

Enables deployment of a Model Context Protocol server with SSE transport on Google Cloud Run for integration with Antigravity.