Deployment & DevOps Servidores MCP
Descubre nuestra colección curada de servidores MCP para deployment & devops. Explora 1104 servidores y encuentra los MCP perfectos para tus necesidades.
AKS
Enables AI assistants to interact with and manage Azure Kubernetes Service (AKS) clusters.
KDebug
Debug Kubernetes clusters conversationally using an LLM that executes commands on your behalf via the Model Control Protocol (MCP).
Test Runner
Provides a unified interface for executing and parsing test results from various testing frameworks.
Raygun
Enables comprehensive access to Raygun's API V3 features for interacting with crash reporting and real user monitoring applications.
SecurityCopilot
Integrates with Microsoft Security Copilot and Sentinel to enhance development, testing, and deployment of security artifacts.
Prometheus
Enables AI agents to query, discover, and analyze Prometheus metrics through natural language interactions via a unified interface.
Frontend Testing
Provides a suite of tools for automated frontend testing, including code analysis, test generation, and test execution.
MySQL
Empowers AI assistants to perform comprehensive and secure operations on MySQL databases, including CRUD, transaction management, and intelligent rollback.
Mcpbar
Simplifies the installation and management of MCP servers via the command line.
Wsl Exec
Executes commands securely within a Windows Subsystem for Linux (WSL) environment.
Nautobot
Integrates the Model Context Protocol (MCP) server with Nautobot, enabling AI assistants to interact with network data.
Terragrunt Docs
Exposes Terragrunt documentation and GitHub issue information to AI agents and other Model Context Protocol (MCP) clients.
Copilot
Scales large language models to thousands of servers through automatic routing.
Airflow
Control Apache Airflow instances via Airflow APIs through a Model Context Protocol (MCP) server.
Attestable
Verifies that an MCP server is running the intended, untampered code through hardware attestation.
Nix
Declaratively configures Model Context Protocol (MCP) servers across supported AI assistant clients using Nix.
Terraform Cloud
Integrates AI assistants with the Terraform Cloud API, enabling infrastructure management through natural language.
Agentman
Simplifies AI agent development through a Docker-like interface for building, managing, and deploying agents using the Model Context Protocol.
Prometheus
Enables Large Language Models (LLMs) to interact programmatically with Prometheus instances.
Azure
Enables Claude to interact with and manage Azure services through natural language.
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