公开目录未提供摘要。
Enables interaction with the AppFlowy Cloud API to manage workspaces, databases, and row operations. It provides tools for authentication, resource discovery, and full row manipulation including creation and upserts.
MCP server for managing Cloudflare DNS across multiple zones from a single API token, enabling bulk operations like toggling proxy, listing records, and batch updates.
An implementation of Model Context Protocol (MCP) server for Argo CD, enabling AI assistants to interact with your Argo CD applications through natural language.
The infrastructure for AI teams: a self-hosted server that gives a fleet of agents shared semantic memory, tasks, direct messages, and session handoff. Any agent that speaks HTTP participates: Claude Code, AutoGen, raw API scripts, anything.
Enables interaction with Helm charts on ArtifactHub by providing tools to retrieve chart metadata, default values, and templates. It supports fuzzy searching within values and templates to simplify the discovery and analysis of Kubernetes packages.
MCP server for answering questions about Apache Software Foundation policies, offering tools to list, retrieve, and search policy documents on releases, licensing, branding, security, infrastructure, and incubator topics.
Enables LLMs to interact with the Aspro.Cloud REST API through self-describing tools for discovering and calling modules, entities, and methods.
全面解析Awesome Devops MCP ServersMCP 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,Awesome Devops MCP Servers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。
Perform operations on your AWS resources using an LLM
Provides AWS service recommendations based on use case descriptions and allows browsing AWS services organized by categories. Helps users discover the most suitable AWS services for their specific technical requirements.
Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.
Enables AI assistants to monitor and troubleshoot AWS Application Signals services by tracking service health, analyzing SLO compliance, querying CloudWatch metrics, and investigating issues using distributed tracing with AWS X-Ray.
A boilerplate TypeScript MCP server with Express.js designed for AWS AppRunner deployment. Provides sample tools, resources, and prompts with Docker containerization and GitHub Actions CI/CD workflow.
Enables AI assistants to execute SQL queries against AWS Athena databases, check query status, retrieve results, and manage saved queries with support for both local and remote deployment via Lambda.
An MCP server which connects with Amazon Verified Permissions.
Enables users to analyze AWS costs, track spending trends, and detect anomalies directly within Claude Desktop using the AWS Cost Explorer API. It provides tools to identify major cost drivers and compare usage across different time periods through natural language queries.
Provides a comprehensive suite of tools for interacting with AWS services like S3, EC2, and Lambda using natural language commands. It enables AI assistants to inspect, manage, and operate AWS resources directly through the Model Context Protocol using your local credentials.
Provides real-time access to AWS security best practices, incident response playbooks, and preventive security measures from the official AWS Customer Playbook Framework repository. Enables users to query AWS security guidance for services like S3, IAM, EC2, and RDS through natural language.
Enables users to generate professional AWS architecture diagrams, sequence diagrams, flow charts, and class diagrams using Python code through the diagrams package. Supports customizable styling and secure diagram generation for cloud infrastructure visualization.


