Discover our curated collection of MCP servers for deployment & devops. Browse 1981servers and find the perfect MCPs for your needs.
Enables AI assistants to execute commands and manage remote Linux hosts via SSH, integrating securely with enterprise domain authentication.
Transforms requests from the Claude API to the OpenAI API for seamless integration and global access.
Manages Minecraft servers through a Model Context Protocol (MCP) interface.
Deploys an unauthenticated Model Context Protocol server on Cloudflare Workers for remote AI tool execution.
Enables the creation, management, monitoring, and interaction with GitHub Actions workflows through a standardized interface.
Demonstrates how to create and deploy a simple server adhering to the Model-Context-Protocol (MCP), providing a basic tool for AI clients.
Generates Model Context Protocol (MCP) tools automatically for each endpoint defined in an OpenAPI specification.
Surfaces comprehensive diagnostic information about a connected client, including its capabilities, handshake details, and selected features.
Facilitates real-time bidding functionalities via an auto-generated Multi-Agent Conversation Protocol (MCP) server.
Manages `npm run dev` processes by automating project detection, background execution, log monitoring, and port management for development environments.
Provides a remote server for a number guessing game, enabling client chatbot interaction via JSON requests.
Manages Alibaba Cloud Message Service (MNS) queues and messages.
Builds and demonstrates an MCP (Model Context Protocol) server in Python, integrating weather alerts and conversational agents.
Facilitates building and deploying custom remote servers to the cloud using Azure Functions with Python.
Provides a reliable interface layer for agents and tools to interact with real-world APIs, managing functionalities like search, authentication, whistle reporting, and user preferences.
Integrates with the Sentry API to track errors, monitor performance, manage releases, and debug application issues.
Translates natural language commands into kubectl operations for simplified Kubernetes cluster management with AI assistance.
Optimizes Jenkins interactions for AI coding assistants, providing token-aware formatting, smart log handling, and automated failure triage.
Generates an MCP (Model Context Protocol) server from an OpenAPI specification for a given API.
Deploy an unauthenticated Model Context Protocol server on Cloudflare Workers, designed for flexible AI agent development.
Scroll for more results...