Discover our curated collection of MCP servers for deployment & devops. Browse 3069 servers and find the perfect MCPs for your needs.
Automates the process of publishing blog posts from Obsidian to a specified directory and GitHub repository.
Automates Clarion IDE operations, project compilation, and build management using ClarionCL and MSBuild.
Facilitates the creation and deployment of an MCP server using Go and Docker.
Interacts with a filesystem server, allowing execution of specified tools with given arguments.
Enables AI assistants to control a browser via Cloudflare Workers, performing web automation tasks.
Provides a Model Context Protocol (MCP) server for AI assistants to manage processes and capture their log output for monitoring and analysis.
Provides a lightweight vector store with TF-IDF search capabilities for various document types.
Orchestrates and schedules custom pipelines with agentic AI support, providing a GraphQL API and a client-side UI.
Provides programmatic control over tmux terminal sessions for automation and interaction on Windows (WSL), Linux, and macOS.
Enables seamless integration of Tableau Cloud and Tableau Server operations through a Model Context Protocol (MCP) server.
Builds a lightweight server to efficiently interact with the complete Cloudflare API, streamlining cloud management tasks.
Provides an AI-powered DevOps knowledge base for Claude, offering best practices, templates, and automation to streamline infrastructure projects.
Exposes OSSEC HIDS security monitoring and management capabilities as tools, resources, and prompts for AI assistants.
Query Kubernetes resources, logs, and events, providing both a command-line interface and an MCP server for AI assistants.
Exposes 14 professional DNS diagnostic tools from the iDig API to any MCP-compatible AI client.
Streamline the deployment, sharing, and feedback collection for AI-generated prototypes directly from your coding assistant.
Enables AI assistants to securely execute terminal commands with controlled directory access and granular permissions.
Control and manage VMware Workstation virtual machines on Linux systems programmatically.
Enables AI agents to securely access sensitive secrets without exposing their raw values directly in chat.
Automates the setup and management of Git repositories and pre-commit hooks, detecting project types to configure appropriate code quality tools.
Scroll for more results...