"Information about backend development or backend systems" matching MCP connectors:
Matching Connector Tools:
AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.
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.
An MCP server that let you interact with Cycloid.io Internal Development Portal and Platform
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.
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 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.
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
Puter MCP lets your AI tools (Claude Code, Codex, or any other MCP-compatible client) interact with your Puter resources: managing files, publishing websites, deploying workers, and more.
Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.
InsideOut by Luther Systems — Agentic AI for cloud infrastructure design, setup, pricing, deployment, and active management. Generates Terraform for AWS and GCP. Hosted A2A agent — describe your application in plain language and InsideOut designs, costs, deploys, and manages production-ready cloud infrastructure.
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.
Turn Claude or ChatGPT into a website builder that ships a real site to a live URL you own.
Put websites online from chat - instant free HTTPS, real domains, zero DNS or API-key setup.
Static-site hosting via MCP — ask your AI client to build a site (lands at .beam.page or your custom domain), then update it anytime, from anywhere, just by asking again.
Deploy full-stack apps (Postgres, Redis, S3, workers, backups) from Claude or curl. 59 MCP tools.
Multiple MCP tools, persistent graph memory, token-saving data pointers, and more.