Deployment & DevOps MCP Servers

GCP Cloud Tools

Enables AI assistants to interact with and manage Google Cloud Platform resources through a standardized interface.

CyberShield

Automates Windows cybersecurity defenses by exposing system tools as HTTP APIs for integration with AI agents and custom scripts.

Alfresco Lab

Provides a reproducible lab environment for experimenting with the Model Context Protocol (MCP) against Alfresco Community Edition using Docker.

Devcontainers

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

Shell Command

Executes shell commands securely within an isolated Docker container using the Model Context Protocol (MCP).

Web Audit

Audits frontend project dependencies for security vulnerabilities, generating detailed reports and remediation suggestions for both local and remote repositories.

Litmus

Enables LLMs and intelligent systems to interact with Litmus Edge for device configuration, monitoring, and management.

Discovery Action

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

Coolify

Connects AI assistants to the Coolify platform by providing comprehensive access to all its API endpoints via the Model Context Protocol.

Delphi Build

Enables AI coding agents to compile Delphi projects programmatically, handling complex build configurations automatically.

GHAS

Provides access to GitHub Advanced Security alerts for repositories.

Rad Security

Provides AI-powered security insights for Kubernetes and cloud environments through a Model Context Protocol server.

Tox Testing

Executes tox commands to run Python tests within a project using pytest via the Model Context Protocol (MCP).

Letta Railway

Provides a cloud-optimized HTTP transport for connecting AI clients to Letta.ai's stateful agents, enabling seamless deployment and management on Railway.

Installer

Facilitates the discovery, configuration, and local installation of Model Context Protocol (MCP) servers.

Aws

Enables natural language interaction with AWS resources through AI assistants like Claude.

Vercel Adapter

Enables serverless deployment of MCP tools as edge functions using Vercel Functions.

Cribl

Enables AI interactions with the Cribl API by providing a Model Context Protocol (MCP) server.

MCPez

Simplifies the management, configuration, and monitoring of backend services through a web-based platform.

Dev Advisor

Provides intelligent analysis for code modernization, browser compatibility, and real-time MDN documentation queries for JavaScript/TypeScript projects.