The Sarvam docs expose a Model Context Protocol (MCP) server. Connect it to your AI coding assistant and the assistant can search the live documentation on demand — so the code it writes uses the right models, parameters, and endpoints instead of guessing from stale training data.
Once connected, ask your assistant something that requires current docs, for example:
“Using the Sarvam docs, write a Python script that transcribes
audio.wavwith the latest speech-to-text model.”
The assistant calls searchDocs, pulls the relevant page, and writes code against the current API.
Prefer zero setup? Every page has Ask AI and Open in Claude / ChatGPT / Cursor actions in the toolbar at the top — no configuration required.
llms.txtThe MCP server is best when you want an assistant to fetch docs on demand during a coding session. If you instead want to hand an LLM the entire documentation up front (for retrieval, fine-tuning context, or offline use), use llms.txt.