"Information about MariaDB, an open-source relational database" matching MCP connectors:

The agent-native cloud: database, functions, AI, storage, auth and more. 50 tools, one API key.

Publish any app in one call: SQL database, functions, email, and a custom domain. Flat price.

No-KYC offshore hosting an AI agent self-onboards (no e-mail), funds in crypto, then deploys.

No-KYC VPS an AI agent buys itself: sign up, pay crypto, get root. No human, no card, no KYC.

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.

Zero-Ops deploy of a private AI workspace to your own VPS — from your AI chat. Free and open-source.

An MCP server that let you interact with Cycloid.io Internal Development Portal and Platform

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 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.

Backend for vibe coders. Connect Butterbase to any MCP-compatible AI coding tool and provision a full backend automatically — database, authentication, file storage, edge functions, and real-time — from a natural language prompt. No SQL, no configuration, no backend knowledge required. Free to start at butterbase.ai.

Managed database, auth, file storage, email, analytics, and deployment for coding agents.

Backend for AI-built apps: database, auth, files, email, AI, payments, deploy, realtime. 170+ tools.

Generate and run high performance queries on open and private spatial data at-scale in the cloud

Deploy full-stack web apps with database, file storage, auth, and RBAC via a single API call.

MCP server for InsForge BaaS — database, storage, edge functions, and deployments

Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.

Your AI Agent's Infrastructure Layer. Connect Claude, Copilot, Codex, or ChatGPT to 200+ managed open source services. Start databases, pipelines, and applications through natural language.

- [DYPAI](https://www.dypai.ai/) - Deploy production backends, APIs, cron jobs and automations from any AI assistant. Database, auth, storage and 24+ integrations included.

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.