Deployment & DevOps MCP 서버

Env Manager

Manages MCP server environments, configurations, and local package installations.

Git Stuff Server

Provides Git-related functionalities, specifically generating diffs for merge commits.

Shell

Executes commands using a fast all-in-one JavaScript runtime.

Key Server

Securely stores API keys and provides npm package installation.

IaC Memory

Enhances Claude AI's capabilities by providing persistent memory storage for Infrastructure-as-Code (IaC) components, focusing on version tracking and relationship mapping for Terraform and Ansible resources.

Bash

Executes bash commands on the host machine via a Model Context Protocol server, returning stdout, stderr, and exit codes.

Kubernetes

Provides a production-ready server for Kubernetes observability and debugging.

Remote

Deploys a Model Context Protocol (MCP) server to Cloudflare Workers with OAuth login.

Next.js

Integrates a Model Context Protocol (MCP) server directly into Next.js applications using the Vercel MCP Adapter.

Qdrant Neo4j Crawl4AI

Integrates Qdrant, Neo4j, and Crawl4AI to provide intelligent AI coordination through vector and graph intelligence.

Jokes

Provides a standardized interface for AI models to access a variety of jokes, including Chuck Norris and Dad jokes.

KTC OpenStack

Enables natural language control of OpenStack cloud infrastructure by serving as a modern and stable Model Context Protocol (MCP) server.

Service Health

Enables AI assistants to monitor web services, APIs, and HTTP endpoints with enterprise-level security.

Server

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

JSR

Provides a Model Context Protocol server, enabling large language models to interact comprehensively with the JSR (JavaScript Registry) API.

Better Auth

Manages authentication with secure credential management, multi-protocol support, and threat detection.

Tyler

Enables AI assistants like Claude to securely interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools.

SEQ

Enables Large Language Models to query, analyze, and manage logs from SEQ structured logging servers.

Production

Provides an extensible and production-ready template for building async Model Context Protocol (MCP) servers in Python.

Jenkins

Integrates Jenkins functionalities with an MCP server.