Deployment & DevOps MCP Servers
Discover our curated collection of MCP servers for deployment & devops. Browse 567 servers and find the perfect MCPs for your needs.
SuperiorAPIs
Dynamically generates MCP tool functions from SuperiorAPIs plugin definitions based on OpenAPI schemas.
Mg
Provides an MCP server for OpenShift must-gather operations.
Server Fetch
Facilitates the installation and execution of an MCP server.
Custom Servers Collection
Provides a curated collection of custom servers for multiple installations.
Github PR Helper
Automates GitHub Pull Request creation and code review processes using the GitHub CLI.
Archi Track
Provides an API to query information about registered applications using the Model Context Protocol (MCP).
Azure DevOps
Facilitates management and control plane operations for Azure DevOps.
Pod
Encapsulates the logic for setting up and running an MCP server.
Docker
Enables AI assistants to seamlessly manage Docker containers, images, and networks via a standardized JSON-RPC interface using the Model Context Protocol (MCP).
Cloud PC Management
Manages Azure Cloud PCs using the Microsoft Graph API.
Git Commands
Provides a suite of Git repository browsing and analysis tools accessible via the Model Context Protocol (MCP).
Blog Publisher
Automates the process of publishing blog posts from Obsidian to a specified directory and GitHub repository.
Airbyte Status Checker
Checks the status of Airbyte connections through the Claude Desktop MCP protocol.
NATS Toolbox
Exposes MCP tools via NATS microservices, functioning either standalone or as a Go library.
Super Windows CLI
Provides unrestricted system access to Windows environments through command-line execution.
Github
Integrates with GitHub's API through the Model Context Protocol (MCP).
My-Mcp-Worker
Enables AI agents and assistants to interact with services by setting up an MCP server using Cloudflare Workers.
Chain
Anchors agent tools, trust registries, and attestable executions on-chain, bringing the Model Context Protocol to Web3.
Kubectl AI
Simplifies Kubernetes management tasks by leveraging AI-powered suggestions, command autocompletion, and error handling.
Project Hub
Manages local software projects, tracks changes, and synchronizes with GitHub repositories.
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