Deployment & DevOps Servidores MCP

Vulnerability Scanner

Scans IP addresses for vulnerabilities using multiple methods and returns detailed reports.

Notifier

Sends webhook notifications upon AI agent task completion, facilitating efficient multi-project development.

CLI Manager

Simplifies the management of multiple Model Context Protocol (MCP) servers through a command-line interface.

K8s Interactive

Executes Kubernetes commands and interprets their output via a given kubeconfig path.

Discovery Action

Automates the discovery of MCP server capabilities and generates formatted documentation.

Frappe

Provides a robust Python implementation for programmatic interaction with Frappe Framework, offering comprehensive API coverage, advanced filtering, and a custom filter language to overcome JSON validation limits.

Devcontainers

Generates and configures development containers directly from devcontainer.json configuration files.

Docker

Enables AI assistants to interact with Docker via the Model Context Protocol (MCP).

Kortx

Enables AI assistants to consult advanced AI models for code analysis, strategic planning, and real-time web search with intelligent context gathering.

Github Actions

Manages GitHub issues, pull requests, and repositories through natural language interfaces and autonomous agents.

TOD

Streamline OneDev workflows by interacting with CI/CD, managing pull requests, and integrating AI assistants via a command-line interface.

Alfresco Agents Lab

Deploys an integrated environment for Alfresco Community, an MCP server with Markdown tools, and a FastAPI agent utilizing LlamaIndex for AI-driven content interaction.

Ables

Transforms any shell command into an AI-callable Model Context Protocol (MCP) server tool using simple YAML configurations.

MCPServe

Deploys a simple Model Context Protocol (MCP) server with shell execution capabilities.

Chatbot

Provides a Flask and Gunicorn-based backend for integrating a personal chatbot into a website.

Arduino LLM

Automates the generation, compilation, and uploading of Arduino, ESP8266, and ESP32 firmware using local Large Language Models and Arduino CLI.

Gitops Lab

Provides a GitOps playground for experimenting with Kubernetes, Terraform, Argo CD, and related technologies.

API

Defines and executes API tools using the Model Context Protocol, offering a lightweight and extensible server.

Enhanced Dev Env

Provides a pre-configured development environment with a focus on Python, CLI tools, and containerization.

AI Architect

Automates the generation and validation of Azure architecture designs and diagrams using AI agents and the Model Context Protocol.