The official e18e MCP server provides modern, high - performance best - practice suggestions for AI agents, including checking package installation commands, analyzing source code imports, and providing migration guides.

The Athena Protocol is an intelligent MCP server acting as a technical leader for AI programming agents, providing expert verification, impact analysis, and strategic guidance. It helps AI agents detect problems, validate assumptions, and optimize solutions before code changes, thereby improving code quality, reducing regressions, and making more informed architectural decisions.

Sequential Thinking MCP is an MCP server that supports AI agents in advanced metacognition and dynamic reflective problem-solving, guiding the step-by-step execution of complex tasks through virtual thought recording and planning.

Cupertino is a Swift - based localization tool used to crawl, index, and provide Apple developer documentation to AI agents through the Model Context Protocol (MCP). It supports offline access to over 230,000 pages of Apple platform documentation, Swift proposals, design guidelines, and sample code, and enables fast retrieval through the SQLite FTS5 search engine.

AutoPentest is an automated Web application penetration testing server based on the MCP protocol, integrating the OWASP WSTG and PortSwigger attack technique guides. It realizes a seven - stage automated testing through role - based agents (scout, analyst, exploiter, reporter), including 109 tests, 31 attack techniques, 27 security tools, and the ability to bypass WAF adaptively, ensuring zero false positives and evidence - driven vulnerability discovery.

Apple RAG MCP is a retrieval-augmented generation system that provides Apple development expertise for AI agents. It integrates official Swift documentation, design guides, and Apple Developer YouTube content, and provides accurate technical answers through AI-driven hybrid search technology.

This project provides an MCP toolkit and sample agents for obtaining public information from Data Commons, including the implementation of the MCP server and a quick - start guide.

A Python-based MCP server for guiding agents to execute tasks according to predefined structured workflows while maintaining execution flexibility.

ToolBartender is a planning - type MCP service that converts natural language goals into safe and structured JSON execution plans, guiding LLMs or execution agents to call tools in order but not directly executing the tools.

PyMCPAutoGUI is a tool that provides graphical user interface (GUI) automation capabilities for AI agents through the MCP protocol. It supports mouse and keyboard control, screenshot, window management, etc., and can be seamlessly integrated into MCP-compatible environments such as the Cursor editor.