Discover our curated collection of MCP servers for deployment & devops. Browse 1974servers and find the perfect MCPs for your needs.
Scans IP addresses for vulnerabilities using multiple methods and returns detailed reports.
Sends webhook notifications upon AI agent task completion, facilitating efficient multi-project development.
Simplifies the management of multiple Model Context Protocol (MCP) servers through a command-line interface.
Executes Kubernetes commands and interprets their output via a given kubeconfig path.
Automates the discovery of MCP server capabilities and generates formatted documentation.
Provides a robust Python implementation for programmatic interaction with Frappe Framework, offering comprehensive API coverage, advanced filtering, and a custom filter language to overcome JSON validation limits.
Generates and configures development containers directly from devcontainer.json configuration files.
Enables AI assistants to interact with Docker via the Model Context Protocol (MCP).
Enables AI assistants to consult advanced AI models for code analysis, strategic planning, and real-time web search with intelligent context gathering.
Manages GitHub issues, pull requests, and repositories through natural language interfaces and autonomous agents.
Streamline OneDev workflows by interacting with CI/CD, managing pull requests, and integrating AI assistants via a command-line interface.
Deploys an integrated environment for Alfresco Community, an MCP server with Markdown tools, and a FastAPI agent utilizing LlamaIndex for AI-driven content interaction.
Transforms any shell command into an AI-callable Model Context Protocol (MCP) server tool using simple YAML configurations.
Deploys a simple Model Context Protocol (MCP) server with shell execution capabilities.
Provides a Flask and Gunicorn-based backend for integrating a personal chatbot into a website.
Automates the generation, compilation, and uploading of Arduino, ESP8266, and ESP32 firmware using local Large Language Models and Arduino CLI.
Provides a GitOps playground for experimenting with Kubernetes, Terraform, Argo CD, and related technologies.
Defines and executes API tools using the Model Context Protocol, offering a lightweight and extensible server.
Provides a pre-configured development environment with a focus on Python, CLI tools, and containerization.
Automates the generation and validation of Azure architecture designs and diagrams using AI agents and the Model Context Protocol.
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