"Servers that Enhance Productivity" matching MCP connectors:

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.

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 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.

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.

Manage Laravel Forge servers, sites, and deployments from your AI assistant.

Let AI operate servers without SSH. Choose actions, approve risky changes, and audit every step.

MCP-ready hosting provider for Minecraft, BungeeCord, TeamSpeak, VPS and many other game servers.

Manage brainCloud apps, cloud code, hooks and servers; API lookups to help generate client code.

Turn Claude or ChatGPT into a website builder that ships a real site to a live URL you own.

Manage CloudPepper servers, Odoo instances, backups, and deployments over MCP.

9 remote MCP servers on Cloudflare Workers for AI agents. Free tier + Pro API keys.

Deploy and manage cloud servers from AI agents. Create pods, push code, run commands — all via MCP.

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.

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.