Descubre nuestra colección curada de servidores MCP para deployment & devops. Explora 1974 servidores y encuentra los MCP perfectos para tus necesidades.
Executes Argo Workflows via a lightweight JSON-RPC interface.
Provides an LLM interface for interacting with a Cloud Foundry foundation.
Provides a self-hostable server for automatic license plate recognition via REST and Model Context Protocol APIs.
Manages Jenkins operations, enabling job listing, build triggering, and build status checks.
Manage files on FTP servers through a modern, user-friendly interface.
Executes shell commands with structured output, enabling command execution with detailed results.
Automate GNS3 network topology creation, management, and simulation using AI-powered natural language commands.
Exposes the Kubernetes API via the Model Context Protocol (MCP).
Manages Datomic database connections and operations, including support for in-memory instances.
Empowers AI agents to execute, optimize, and manage JavaScript/TypeScript projects using the Bun runtime via Model Context Protocol.
Exposes common Bazel actions like build, test, and dependency analysis through an MCP server.
Provides a high-performance FastAPI server implementing the Model Context Protocol (MCP) for integrating with Large Language Models (LLMs).
Manages aaPanel server instances by providing remote access to system information, website configurations, databases, Docker containers, and email accounts.
Connects STDIO-based Model Context Protocol (MCP) clients with SSE-based MCP servers, bridging different transport protocols.
Manage VMware Fusion virtual machines programmatically via its REST API as an MCP server.
Provides a comprehensive Model Context Protocol (MCP) server for managing Proxmox virtual machines and containers, enhancing AI interaction with the virtualization platform.
Manages Model Context Protocol (MCP) servers, offering a way to discover, install, and configure them through a web-based interface.
Enables natural language interaction with Kubernetes clusters through LLMs, simplifying resource management and deployment.
Exposes a comprehensive API to retrieve Kubernetes cluster information and diagnose issues using the Model Context Protocol.
Generates conventional commit messages from staged Git changes.
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