Deployment & DevOps Servidores MCP

ApiFox Interface Server

Retrieves ApiFox interface information using the Model Context Protocol.

Azdo

Integrates AI assistants with Azure DevOps for managing work items, pull requests, and wikis.

Release Notes

Generates release notes from GitHub commits, organized by type and enriched with PR data.

Harvester

Enables AI assistants to interact with and manage Harvester HCI clusters via natural language.

Minimal

Creates a basic, Nix-encapsulated server using Python and uv.

Powergentic AZD

Deploys a TypeScript Model Context Protocol (MCP) server to Azure Container Apps using SSE transport.

Kafka Integrations

Enables language models to interact with Apache Kafka and its ecosystem.

Auto Install

Automates the installation and management of Model Context Protocol (MCP) servers.

Ops

Manages unikernels using the nanos/ops toolchain through an mcp server.

Flashduty Server

Integrates with Flashduty APIs to provide advanced incident management and automation capabilities via the Model Context Protocol (MCP).

InfraGenius

Provides AI-driven insights and automation for DevOps, SRE, cloud architecture, and platform engineering professionals.

NPM Scripts Executor

Exposes project `package.json` scripts as callable tools for AI agents via a Model Context Protocol server.

Server

Provides a robust backend for AI agents, delivering custom instruction files and executable scripts.

ECS AI Agent

Deploys an agentic AI architecture on AWS Fargate for Amazon ECS, enabling an AI service to interact with multiple Model Context Protocol servers to perform various actions.

Agent Hub

Orchestrates enterprise-grade AI agents to streamline developer and DevOps workflows across various toolchains.

Xray

Integrates the Xray Cloud GraphQL API with Model Context Protocol (MCP) clients like Claude Code.

ACE

Enhances development workflows by learning coding patterns and providing intelligent, context-aware assistance.

Poly Cloud

Provides a unified server for managing cloud resources across AWS, GCP, Azure, and DigitalOcean via the Model Context Protocol.

LogicMonitor

Integrates AI assistants with LogicMonitor monitoring data and IT operations, enabling real-time interaction and automated management through structured tools.

Poly

Provides a comprehensive Model Context Protocol (MCP) server, offering extensive capabilities for filesystem, diagnostics, scripting, time, network, context, Git, user input, and agent-centric version control operations.