"Elastic Stack" matching MCP servers:

An MCP server that scaffolds full-stack projects with consistent structure, Docker setup, CI/CD pipelines, and database configuration.

MCP server for deploying projects to multiple cloud platforms (Vercel, Railway, Neon, MongoDB Atlas, Docker) and running local dev servers, with orchestration for full-stack deployments.

Build and host full-stack web apps and sites on Hatchable from any MCP client. Each project gets a dedicated Postgres database, auth, storage, custom domains, and cron.

Enables making REST API calls to Teradata cloud services including Elastic Compute, Vector Store, OMS, and QueryGrid. Supports custom authentication, Socks5 proxy, and multipart file uploads.

Enables building, verifying, previewing, deploying, diagnosing, updating, and rolling back full-stack Micro apps through typed local MCP tools backed by micro-cli.

Enables analysis and validation of Terragrunt projects, including dependency mapping, stack structure, and optimization suggestions, directly in IDEs that support MCP.

Enables the deployment and management of Laravel applications on Faber servers directly from Cursor via natural language. It supports full stack orchestration, including provisioning apps, databases, SSL, and handling zero-downtime deployments and rollbacks.

Enables AI agents to perform full-stack cloud operations across Alibaba Cloud and Tencent Cloud, including server management, project deployment, database queries, file operations, instance lookups, and DNS/CDN management through 26 tools.

Enables deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It utilizes EdgeOne Pages Functions and KV storage for high-performance edge delivery of web applications.

Enables the deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It integrates with edge functions and KV storage to provide fast content delivery and supports custom domain configuration.

A Model Context Protocol server that provides access to Aiven services (PostgreSQL, Kafka, ClickHouse, Valkey, OpenSearch), enabling LLMs to build full stack solutions by interacting with these services.

Enables interaction with Aiven cloud services including PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch. Allows LLMs to list projects, services, and retrieve service details to build full-stack solutions across the Aiven ecosystem.

Enables AI assistants to manage cloud infrastructure using Pulumi by running commands like preview, deploy, and stack output retrieval through the Model Context Protocol.

Provides access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey and OpenSearch services, enabling LLMs to build full stack solutions by interacting with the Aiven ecosystem.

Enables AI agents to build, deploy, and manage full-stack applications on AppsAI's platform, with tools for project management, backend/frontend deployment, billing, marketplace, domains, and more.

Enables AI assistants to interact with the Cycloid platform for infrastructure management, including blueprint discovery, stack creation, pipeline listing, and event monitoring via natural language.

OBTO gives your AI assistant a hosted app platform: it scaffolds, deploys, and operates real full-stack apps — pages, APIs, database, scheduled jobs — in a workspace created automatically at your first Google sign-in.

MCP sidecar server that exposes Dockhand's container, image, volume, network, and stack management as MCP tools over Streamable HTTP, enabling MCP clients to manage Docker resources through Dockhand's REST API.

Deploy and monetize agent-built apps from one MCP. Ship a full-stack app (login, database, usage billing) with one command, then charge the signed-in end user per API call via X-Settle-Payer (end-user-pays: cost times markup, app owner earns the markup).

Agentic cloud platform with 45+ MCP tools. Deploy any containerized stack, debug live pods (shell, file editing, DB queries), manage custom domains & TLS, push to built-in container registry, scale pods, and manage GPU workloads. The infrastructure layer where AI agents ship software to production.