The Product Requirement Prompt (PRP) is a structured prompt that combines the goal and rationale parts of a traditional Product Requirement Document (PRD) and adds AI key layers (context, implementation details and strategies, verification gates), providing everything needed for an AI coding agent to build a working software vertical slice.

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.

Lookerctl is a comprehensive command - line tool for large - scale management and optimization of LookML. It provides functions such as local fast verification, usage analysis, dependency mapping, scientific testing, and AI integration, and supports the MCP server for use by AI agents.

An intelligent task management system based on the Model Context Protocol (MCP), providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, dependency management, verification, and memory.

Claude Crew is a tool for creating autonomous coding agents, focusing on maximizing cost - effectiveness through efficient use of the context window, prioritizing operation verification through unit tests, and providing project - optimized MCP and context information.

A multi - agent browser automation framework based on AgentKit, which realizes intelligent web page navigation and task execution through division of labor and collaboration, including four core modules: task planning, navigation control, browser operation and result verification.

EVDI is an end - to - end verifiable data infrastructure that provides digital identity and credential management for the AI agent ecosystem. It enables the authentication and trust establishment of AI agents through the Self - Sovereign Identity (SSI) model. The MCP Server, as an adapter for the SSI issuance service, exposes SSI operations as tools that can be called by AI models, supporting credential management and verification functions.

Patch File MCP is an MCP server that precisely modifies file content through block format patches, supports multi-block modification and security verification, and is suitable for AI agents to perform precise editing on project files.

This is a leave management system server based on the Model Context Protocol (MCP). It allows AI assistants (such as Claude, Cursor) to act as HR collaborators, automatically completing the entire process of collecting leave information, verifying company policies, automatically approving requests, and generating user - friendly confirmation notifications. The system is built using Python and the fastmcp framework, with built - in verification rules and audit trails, aiming to replace traditional manual processes and provide secure and composable HR automation operations for AI agents.