Deployment & DevOps MCP 서버

Bunnyshell

Enables AI assistants to interact with the Bunnyshell platform via natural language commands.

Server Status

Monitors server status by retrieving CPU, memory, and uptime information for local or remote servers.

Remote Server

Deploys a remote server on Cloudflare Workers to host custom Model Context Protocol (MCP) tools without requiring authentication.

Copilot Studio Integration

Facilitates deployment and integration of AI Model Context Protocol servers with Microsoft Copilot Studio to enhance AI model capabilities with external data sources.

MCP

Builds and demonstrates an MCP (Model Context Protocol) server in Python, integrating weather alerts and conversational agents.

Netlify Express

Demonstrates developing and running serverless Model Context Protocol (MCP) applications using Netlify Functions.

XTRF Home Portal

Generates a Model Context Protocol (MCP) server from an OpenAPI specification.

Devil

Provides programmatic access for AI assistants to manage devil hosting platform services through a secure REST API.

Pero

Integrates powerful SSH client capabilities with App Store Connect API management within a Model Context Protocol server.

Yokai

Streamlines the rapid setup and deployment of Modular Control Protocol (MCP) servers using the Yokai Go framework.

Secure Model Protocol Template

Establishes a secure and remotely accessible Model Context Protocol server template, integrating Cloudflare ZeroTrust Access for robust authentication and authorization.

Seven Rooms

Manages restaurant reservations and availability by exposing SevenRooms API functionality via the Model Context Protocol.

Sourcegraph

Integrates Sourcegraph's universal code search capabilities with AI assistants using the Model Context Protocol (MCP).

TortoiseSVN

Integrates TortoiseSVN and Subversion functionalities into the Model Context Protocol (MCP) server ecosystem for Windows environments.

DevOps Practices

Provides an AI-powered DevOps knowledge base for Claude, offering best practices, templates, and automation to streamline infrastructure projects.

Guardrails

Provides a robust security layer for AI agents and code, implementing comprehensive input validation, output filtering, policy enforcement, audit logging, and rate limiting.

AI MDLC Kernel

Transforms structured markdown into production-grade software through an autonomous, self-correcting, and traceable development pipeline.

COBOL Server

Retrieves COBOL source code and copybooks from z/OS mainframes to empower AI assistants and developers.

Gandr

Routes Claude Desktop tool calls from Windows into a Linux environment via WSL, enabling execution within a native Linux setup.

Multiplexer

Unifies multiple MCP servers into a single, resilient interface, routing tool calls and managing server lifecycles for seamless integration with Claude Code.