Google has taken a step toward making its developer documentation accessible to AI tools. With the Developer Knowledge API, Google is explicitly positioning its official documentation as a programmatic source of truth.
Wide range of sources
Google's Developer Knowledge API positions official documentation as a programmatic source of truth for AI tools, replacing reliance on outdated training data or web scraping. This API allows developer tools to directly request documentation in Markdown format, covering sources like Firebase, Android, and Google Cloud. During the public preview, new or updated documentation is reindexed daily, ensuring AI systems have access to the latest information. Concurrently, Google is introducing a Model Context Protocol (MCP) server, a standardized and secure way for AI assistants to consult external data sources. By integrating the MCP server with an IDE or assistant, AI systems can gain read access to official documentation, leading to more reliable answers on implementation, troubleshooting, and cloud service comparisons. Currently, the preview focuses on unstructured Markdown content to ensure speed and coverage, with plans to add more structured elements like code examples and API references, and further reduce reindexing time. This initiative aims to make Google's knowledge more integrated into developers' daily workflows, enabling AI assistants to provide accurate, up-to-date, and authoritative technical information.
