Apcore

About

Apcore automates the exposure of apcore modules as AI tools, eliminating boilerplate by converting module registries into both Model Context Protocol (MCP) tool definitions and OpenAI-compatible function calling formats. It offers various server transports, including stdio, Streamable HTTP, and SSE, alongside features like dynamic registration, schema conversion, and annotation mapping. This tool simplifies the process of making apcore functionalities discoverable and callable by AI agents, facilitating seamless integration with large language models.

Key Features

• Dynamic registration for real-time tool updates based on registry changes
• Conversion of modules to OpenAI function calling format with strict mode
• Inline JSON Schema `$defs`/`$ref` for clean tool definitions
• 1 GitHub stars
• MCP Server for apcore modules over stdio, Streamable HTTP, or SSE
• Mapping of module annotations to MCP hints and OpenAI description suffixes

Use Cases

• Automating the generation and management of tool definitions for AI systems
• Integrating apcore modules with OpenAI's function calling feature
• Exposing apcore functionalities as callable tools for AI agents