Builds high-quality MCP servers that enable LLMs to interact with external services through well-designed, workflow-optimized tools and APIs.
A comprehensive .NET 9 and Angular 19 enterprise framework featuring Clean Architecture, CQRS, Domain-Driven Design, event-driven patterns, and multi-database support (MongoDB, SQL Server, PostgreSQL).
A skill that guides the creation of high-quality MCP (Model Context Protocol) servers, covering API design, tool naming, error handling, and framework best practices for both TypeScript and Python implementations.
An open-source AI agent platform that unifies multi-LLM chat, MCP tool calling, and ACP agent integration in a desktop application, supporting providers like OpenAI, Google Gemini, and Anthropic.
Generates Model Context Protocol (MCP) server implementations from LangGraphGo workflow definitions.