"MCP servers that support SSE connections" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Publishes what an AI made — a page, a markdown or PDF doc, or a whole site — to a live HTTPS link. Runs locally over stdio from the @drop2run/mcp npm package, or hosted at https://mcp.dropto.run/mcp for chats that connect by URL.
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.
MCP server that lets your AI assistant build and deploy apps, hosting each one at a live URL.
Publish AI-made HTML apps as shareable links that save and sync data. No account or token needed.
Cloud Android 14 phones that Claude, Claude Code, Cursor and Codex can use over MCP. Ready in ~15 s. Plain-English tasks return pass/fail, steps, screenshots and video. 1¢ per phone-minute, AI included, 100 free minutes a month.
Costory is the FinOps agent your team builds on. Claude plus a single provider's MCP works for one person and one cloud. It breaks when you add more providers, more people, and more tools to maintain. - Multiple providers: AWS, GCP, Azure, LLM APIs and data clouds normalized and allocated to teams and features in one model, including allocation from telemetry (Kubernetes, Datadog, dbt). - Multiple users: one hosted setup with OAuth, per-user access and enterprise SSO, instead of local credentials and prompts per person. - Maintained for you: tools, skills and connectors kept up to date by Costory, so reorgs and new services don't break your agent. Your agent finds savings, explains every change in spend and issues recommendations that your coding agent can implement. It works in Claude, Cursor and any MCP client, plus Slack. Customers include Alan, Deezer, Delivery Hero, Voodoo and Pennylane. Pricing: Starter from $300/month, flat: unlimited users and data sources, and a fair use that 80% of customers never outgrow. Nothing is ever cut off, and agents connected through the MCP use no AI credits. 30-day free trial.
GPU cloud for AI agents: launch GPUs, run jobs that stop their own billing, schedule runs.
Manage VeriTeknik servers, DNS, backups and support tickets from your AI assistant.
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.
Compare GPU specs and cloud rental offers, check CUDA support, and estimate Qdrant resources.
Your AI publishes your site: free HTTPS link, or a .com for €19 that goes live with no DNS.
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 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.
An MCP server that let you interact with Cycloid.io Internal Development Portal and Platform
Provides capabilities that let LLM agents perform a range of infrastructure management tasks.
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.
Hire AI workers that run on schedule, report back and act with your OK. Or deploy private models.
Brazilian hosting operated end to end by the coding agent: create an app, provision PostgreSQL, Redis and object storage, deploy from GitHub Actions, read container logs, measure memory and CPU, and see the cost in BRL before spending it. Irreversible operations require a human approval code that the agent never sees. Prepaid credit, paid by Pix.
Official MCP server for subfeed.app — the cloud for agents. 15+ tools for AI agents to register, build, and deploy other agents. Zero human required. Start here: subfeed.app/skill.md
Turn Claude or ChatGPT into a website builder that ships a real site to a live URL you own.
Cloud hosted Okahu MCP server that helps you manage genAI trace data
An MCP server that provides an API to LLMs to manage their JumpCloud resources.
The OpenMesh MCP Server provides decentralized, permissionless cloud infrastructure that integrates AI assistants with Web2 and Web3 applications without middlemen. It offers intelligent service discovery to identify MCP servers, acts as a universal proxy for routing requests to discovered services, implements performance optimization through usage feedback, and provides automatic fault tolerance with alternative services when servers become unavailable.
