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MCP 工具与服务目录

找到适合你的 MCP Server,快速完成接入

按功能、传输方式和来源整理 MCP Server,提供安装命令、配置方式、仓库与文档入口,方便你快速比较并接入合适的服务。

正式条目

87,640

可复制安装

36,828

最近生成

2026-05-22

运维云端未说明

Enables AI assistants to execute AWS CLI commands and access AWS documentation, resources, and prompt templates through the Model Context Protocol with support for Unix pipes and secure Docker-based deployment.

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A read-only Model Context Protocol server that exposes over 60 AWS tools across services like EC2, S3, and IAM for AI agent interaction. It features multi-region support, resource caching, and audit logging to provide secure, AI-ready access to AWS infrastructure data.

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Enables Claude to interact with core AWS services like S3, EC2, RDS, and CloudWatch, along with a generic SDK wrapper for any AWS operation. It also supports cost monitoring and optional vector store capabilities for document ingestion and search.

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Enables Claude Desktop to interact with 57 AWS services using over 200 tools and local machine profiles. It supports multi-profile configurations and features a read-only safe mode by default to manage infrastructure like EC2, S3, and Lambda securely.

运维云端未说明

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

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Provides read-only access to AWS resources including S3 buckets, EC2 instances, IAM users, and caller identity verification through the Model Context Protocol.

运维云端HTTP

全面解析Aws Monthly Cost Report MCP ServerMCP 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,Aws Monthly Cost Report MCP Server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。

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Provides a comprehensive suite of 76 tools for AWS cloud resource optimization, cost management, and infrastructure monitoring. It enables users to identify unused resources, analyze cost trends, right-size capacity, and maintain security compliance through natural language.

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Enables interaction with AWS S3 storage through bucket operations (create, delete, list), object management (upload, download, delete, list), and bucket policy configuration using AWS credentials.

运维云端stdio

全面解析AWS S3MCP 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,AWS S3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。

安装状态

已补齐

命令预览

NPX 命令

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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.

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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.

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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.

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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.

AI代理stdio

全面解析MCP Code RunnerMCP 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,MCP Code Runner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。

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全面解析Azure Devops MCP ServerMCP 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 MCP Server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。

运维云端stdio

全面解析Azure Assistant MCPMCP 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 Assistant MCP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。

安装状态

已补齐

命令预览

pip install -e .

运维云端stdio

全面解析Azure Devops MCPMCP 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 MCP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。

运维云端未说明

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.