Enables AI agents to scaffold and upgrade modern projects across JavaScript/TypeScript and Python through a unified MCP interface, offering tools to list generators, inspect schemas, generate projects, and plan upgrades.
Enables AI assistants and IDEs to work with the AGNTCY Agent Directory, providing tools for validating, publishing, searching agent records, and navigating OASF taxonomies.
A management toolkit for AI agent skills that provides an MCP server for search-first skill discovery and on-demand loading. It enables users to validate, organize, and serve standardized skills to MCP-compatible clients like Cursor and GitHub Copilot.
Enables AI coding agents to generate standardized code using scaffolding templates, enforce architectural patterns, and validate outputs programmatically. Supports creating projects from boilerplates and adding features to existing codebases while maintaining team conventions.
A production-ready Python scaffold for building Model Context Protocol (MCP) servers using FastMCP. It provides a structured framework for developers and AI agents to rapidly develop, test, and manage custom tools and workflows.
