A Node.js and TypeScript-based MCP server enabling AI model communication in a serverless Azure environment.

A comprehensive suite of containers for efficient microservices deployment and management.

A server for sending notifications to self-hosted ntfy servers with secure token authentication support.

Simple MCP server enabling shell execution, local connectivity via Ngrok, and Docker-based Ubuntu24 container hosting.

A TypeScript-based MCP server supporting email notifications via MCP protocol, with Docker deployment options.

A server that exposes Pi-hole functionality as tools for AI assistants, enabling DNS management and queries.

A simple MCP server deployment tool supporting shell execution, with options for local and container hosting.

Implements MCP server integrated with SearXNG to enable privacy-respecting web search for AI agents.

Open-source MCP for Dart & Flutter; exposes SDK tools for AI-driven workflows, automation, and remote dev tasks.

A Dockerized MCP server stack that packages multiple ML/AI MCP servers for easy deployment and management.

Enables LLMs to execute code securely in isolated Docker containers for testing and development.

Demonstrates a custom MCP for arithmetic operations, containerized with Docker for easy deployment.

A flexible MCP server supporting Podman and Docker, enabling container runtime communication with MCP protocol.

Provides AI with access to healthcare data APIs, including FDA info, PubMed, clinical trials, and medical terminology.

A FastAPI-based server managing student profiles, academic history, and financial aid eligibility via MCP interface.

Enables AI assistants like Claude to securely execute Kubernetes commands via a containerized MCP server.

Tools to test and demonstrate manipulation vulnerabilities in MCP communication protocols.

A model context protocol server that enables AI assistants to send real-time notifications via self-hosted or public ntfy services.

Gateway app for interfacing with the Evolution API via stdio MCP server with SSE endpoint.

Enables AI assistants to execute AWS CLI commands securely within a containerized environment via MCP protocol.

A server that executes terminal commands via MCP protocol, enabling AI to run shell commands securely.

A collection of MCPs enabling Large Language Models to interact with numerous DevOps tools via APIs.