A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.

Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.

Express REST API and MCP Server Framework is a comprehensive development framework for building RESTful APIs and MCP servers with Express.js. It provides a complete template for creating production-ready APIs using Node.js, Express, Mongoose (MongoDB), and Sequelize (SQL databases).

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new, MCP server

GitHub Copilot for Azure

mcp-1panel is an implementation of the Model Context Protocol (MCP) server for 1Panel.

Plugin for Butterbase.ai

Open source MCP Servers for AWS

Boilerplate built for AI coding agents, tools, CLI

Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.

The environment engine for agent worktrees - zero-config dep sync + port/DB/compose isolation

Instant SECURE Full Stack Apps and AI Agents

Microsoft Dataverse skills for AI coding agents. Wraps the Dataverse MCP server, Dataverse CLI, Python SDK, and PAC CLI behind specialist skills for building, querying, deploying, and administering Dataverse environments.

Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

Production-ready plugins for SAP development with AI coding assistants — BTP, CAP, Fiori, ABAP, HANA, Analytics Cloud, Datasphere, and more

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.