Discover our curated collection of MCP servers for deployment & devops. Browse 1974servers and find the perfect MCPs for your needs.
Facilitates interaction with the Azure DevOps API, enabling project management and repository operations.
Automates AI-powered Kubernetes cluster remediation and GitOps operations through a lean, containerized REST API, designed for orchestration by external systems like N8N.
Enables AI assistants to securely execute Azure CLI commands for managing cloud resources.
Manages Azure DevOps work items through the Model Context Protocol (MCP) server.
Extends the Model Context Protocol (MCP) filesystem server with robust file operations and secure command execution capabilities.
Retrieves and exposes data from the data.gouv.fr RappelConso platform as an API.
Provides multimodal AI image, text, audio, and vision generation capabilities through standard REST endpoints.
Executes JavaScript code using the Bun runtime environment.
Provides a read-only Model Context Protocol (MCP) server for AI-powered introspection of Kubernetes, Helm, and Argo environments.
Integrate Azure DevOps services and context directly into development agents and code editors.
Provides a production-ready server for Kubernetes observability and debugging.
Provides a foundational setup for deploying a remote Microservices Control Plane server, demonstrating both local and cloud deployment.
Provides a standardized interface for AI assistants and applications to interact with the Dokploy platform for managing deployments, databases, and infrastructure.
Provides a comprehensive server template for building AI model integrations with Fastify, following official Model Context Protocol (MCP) TypeScript SDK best practices.
Provides secure and controlled access to software project repositories for executing builds, running tests, and managing Git operations.
Automates red team vs. blue team AI competitions to discover and patch vulnerabilities in open-source ecosystems using LLM-driven agents.
Converts Stdio Mcp Servers to Restful APIs, simplifying deployment and integration with web services.
Provides a serverless weather data service using the Model Context Protocol for consumption by intelligent agents.
Fetches web URLs via `curl -sL` after prepending a configurable server-side prefix, enabling AI applications to route requests through proxies or custom gateways.
Deploys a Model Context Protocol (MCP) server to Cloudflare Workers, providing a customizable backend for AI models.
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