A unified MCP server for AWS that enables natural language infrastructure management, cross-service resource discovery, and dependency mapping. It features 30 intelligent tools for cost optimization, incident investigation, and multi-account operations protected by a robust safety system.
Orchestrates multiple AWS security services to provide comprehensive security assessments, threat analysis, and multi-framework compliance monitoring. It enables users to perform automated remediation recommendations and incident investigations through a unified Model Context Protocol interface.
MCP Server implementation with AWS Serverless services.
A containerized Model Context Protocol server that enables using natural language to develop AWS infrastructure with Terraform, offering best practices guidance, security scanning with Checkov, and access to AWS provider documentation.
This server provides guidance and recommendations based on AWS's Well-Architected Framework for cloud architectures, enabling analysis and review focused on operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.
Enables interaction with Azure AI Foundry services including model exploration and deployment, knowledge management through AI Search, evaluation of text and agents, and fine-tuning operations. Provides unified access to Azure's AI capabilities through natural language commands.
Enables interaction with Azure AI Foundry services through a unified interface for model exploration and deployment, knowledge indexing and search, AI evaluation, and fine-tuning operations. Supports both GitHub token-based model testing and full Azure deployment workflows.
Enables interaction with Azure AI Foundry services for model exploration, deployment, and performance evaluation. It provides tools for managing knowledge bases via AI Search Service, executing fine-tuning jobs, and orchestrating AI agents through natural language.
Enables text-to-image generation and image editing using Azure AI Foundry models. Supports generating high-quality images from text descriptions and modifying existing images through natural language prompts.
Exposes backend APIs through Azure API Management as an MCP server to enable AI assistants to interact with product catalogs and order systems. It provides standardized tools for searching products, retrieving details, and managing orders via the Model Context Protocol.
Enables natural language exploration of Azure environments by generating and executing KQL queries against Azure Resource Graph. Supports multi-tenant configurations, subscription scoping, and provides direct access to Azure resource information through conversational interactions.
A server-sent events (SSE) MCP server that runs on Azure Container Apps with API key authentication, likely providing weather-related functionality based on the configuration.
全面解析Azure DevOpsMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Azure DevOps能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
Enables management of Azure DevOps work items including Epics, Features, User Stories, Tasks, and Bugs through natural language. Supports CRUD operations, WIQL queries, work item relationships, and retrieval of project metadata such as iterations and area paths.
A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, providing capabilities for work item management, project management, and team collaboration through natural language.
Enables interaction with Azure DevOps through Personal Access Token authentication. Supports work item management, wiki operations, project/repository listing, and build pipeline access through natural language.
A Model Context Protocol server that integrates with Azure DevOps, enabling users to query work items, access backlogs, and perform various Azure DevOps operations through a standardized interface.
Enables AI assistants to interact with Azure DevOps to manage work items, Git repositories, branches, commits, and projects through natural language commands.
Enables interaction with Azure DevOps Boards through the Model Context Protocol. Supports work item management including listing, updating status, adding comments, and retrieving prioritized cards for development workflows.
Enables interaction with Azure DevOps through Cursor chat, providing tools to manage builds, pipelines, work items, sprints, and board operations. Supports secure authentication via Personal Access Tokens and allows natural language-driven DevOps task management.
