my personal mcp server 👋🏾
The most comprehensive Azure DevOps MCP server & CLI — 13 tools, 82 actions, single Go binary.
A robust system that connects web UI to After Effects, enabling real-time command processing and monitoring with comprehensive error handling.
Enables AI assistants to manage Alibaba Cloud resources via natural language, with explicit tools for common services and a universal API invoker for full cloud coverage.
A server implementation that enables management of Alibaba Cloud ECS (Elastic Compute Service) resources through a collection of API and OOS automation tools, supporting operations like instance lifecycle management, monitoring, and resource inspection.
An MCP server for Amazon Q CLI that supports operations on Alibaba Cloud services including ECS, VPC, RDS, OSS, CloudMonitor, and OOS.
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.
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.
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.
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.
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.
Enables interaction with AWS Fault Injection Service to create, manage, and execute chaos engineering experiments. Operates in read-only mode by default for security, with optional write operations for starting/stopping experiments and managing templates.


