As the ecosystem of AI-powered developer tools—from agentic platforms like Antigravity to command-line interfaces like Gemini CLI—continues to expand, a critical challenge has emerged: how do we ensure these models have access to the most accurate, up-to-date documentation?
Large Language Models (LLMs) are only as good as the context they are given. When building with Google technology, developers need their AI assistants to know the latest Firebase features, the most recent Android API changes, and the current best practices for Google Cloud.
Today, we are excited to announce the public preview of the Developer Knowledge API and its associated Model Context Protocol (MCP) server. Together, these tools provide a canonical, machine-readable gateway to Google’s official developer documentation.
What is the Developer Knowledge API?
The Developer Knowledge API is designed to be the programmatic source of truth for Google’s public documentation. Instead of relying on potentially outdated training data or fragile web-scraping, developers can now search and retrieve Google developer documentation pages as Markdown.
Key features include:
Comprehensive coverage: Access documentation from firebase.google.com, developer.android.com, docs.cloud.google.com, and more.
Access documentation from firebase.google.com, developer.android.com, docs.cloud.google.com, and more. Search and retrieve: Find relevant documentation pages and snippets, and then retrieve the full Markdown content.
Find relevant documentation pages and snippets, and then retrieve the full Markdown content. Freshness: During our public preview documentation is re-indexed within 24 hours of an update, ensuring your tools stay current with the latest releases.
Alongside the API, we are releasing an official Model Context Protocol (MCP) server. MCP is an open standard that enables AI assistants to safely and easily access external data sources.
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