Technical realization of an autonomous selection tool for intelligentsia
The dynamic tool discovery feature provided by ACI.dev's MCP server revolutionizes the traditional development model for AI intelligences. This feature allows intelligences to automatically search for and select the most appropriate tool based on task intent, and is realized through two meta-functions, ACI_SEARCH_FUNCTIONS and ACI_EXECUTE_FUNCTION.
To realize this, the developer only needs to provide a natural language representation of the task description, and the system will return a list of matching tools. For example, the research intelligence can automatically combine the web search function of Brave Search and the document storage function of Notion when dealing with the task of "obtaining science and technology news". This design breaks through the limitations of traditional solutions that require hard-coded tool invocations, and dramatically improves development efficiency.
This answer comes from the articleACI.DEV: Integration of 600+ tools for AI intelligences via MCP serverThe
