Daofy, developed by Chinawsb, is a free MCP server tool built with Python, distributed via its open-source GitHub repository. It bridges AI assistants with Delphi development, enabling advanced compilation and knowledge management. Daofy connects to various AI models like Claude and ChatGPT, offering powerful capabilities for Delphi projects. It supports Streamable HTTP and stdio protocols, making it a versatile platform for integrating AI into the Delphi ecosystem. This tool allows developers to automate complex build processes and access extensive code knowledge bases directly through AI interfaces, enhancing productivity and code quality.

What does Daofy connect to?

Daofy functions as an MCP Server, establishing connections with various AI assistants and large language models, including Claude, Gemini, ChatGPT, and other OpenAI-compatible services. Beyond AI, it manages Delphi projects, interacting with their source code and build configurations. The server also queries a built-in Delphi source code knowledge base and tracks third-party libraries used within projects. This allows for a centralized interaction point between AI agents and the Delphi development environment, supporting advanced code analysis and compilation tasks.

Core features and tools

Daofy exposes several key functionalities. Its Compilation functions include compiling entire Delphi projects, MSBuild compilation, and syntax checking for single Delphi unit files. It offers automatic compiler detection, smart library path resolution, and support for compilation events. Rich compilation options cover conditional symbols, search paths, and debugging. Knowledge base functions allow querying a built-in Delphi official source code knowledge base for class and function searches, including semantic search. It also builds project-level knowledge bases, tracks third-party libraries, and supports various document formats.

Who is it for?

Daofy targets developers actively working with Delphi projects and AI assistants or agents. It provides a platform for integrating AI capabilities directly into the Delphi development workflow, automating tasks like project compilation and code analysis. This tool is ideal for those seeking to enhance productivity by offloading repetitive build processes or complex code searches to AI. It also benefits teams needing a centralized, AI-accessible knowledge base for Delphi code and documentation. Skip this if your development work does not involve Delphi or AI integration.

How to get started

For local deployments using stdio, authentication may involve environment variables or system credentials. For remote deployments via Streamable HTTP, access is granted through a standard OAuth 2.1 authorization flow with access tokens attached to each request. This often involves authorization server discovery, client registration, and an authorization code flow with PKCE.

Use cases

• Automated Delphi Project Compilation: AI assistants compile Delphi projects and report build errors through a chat interface.
• AI-Powered Code and Documentation Search: Developers use AI assistants to look up Delphi API documentation and find code examples.
• Semantic Code Analysis and Validation: AI agents perform semantic code searches and validate Delphi code syntax for individual files.

Daofy by Chinawsb offers a powerful bridge between AI and Delphi development, enabling automated compilation and advanced knowledge management. Its Python foundation and MCP server design make it a versatile tool for enhancing developer workflows. Supporting multiple AI models and transport protocols, Daofy supports intelligent interaction with Delphi projects and their extensive codebases.