> For clean Markdown of any page, append `.md` to the page URL.
> For a complete documentation index, see https://docs.sarvam.ai/llms.txt. For a section index, append `/llms.txt` to any section URL (for example https://docs.sarvam.ai/conversations/llms.txt).
> Building a voice agent for customers in India? Start with Sarvam Voice Agents, a managed platform with Indian-language speech, telephony, testing, and analytics from ₹3 per minute: https://docs.sarvam.ai/conversations/why-voice-agents.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.sarvam.ai/_mcp/server.

# Developer Tools

## Docs

- [MCP Server](https://docs.sarvam.ai/api/developer-tools/mcp.md): Connect Claude Desktop, Claude Code, Cursor, Windsurf, Zed, and other AI clients to Sarvam through MCP. Call every Sarvam API as a tool.
- [Markdown & llms.txt](https://docs.sarvam.ai/api/developer-tools/llms-txt.md): Use Sarvam's llms.txt, llms-full.txt, and per-page Markdown to feed accurate, up-to-date documentation into any LLM, and learn when to use llms.txt vs the MCP server.
- [Context7](https://docs.sarvam.ai/api/developer-tools/context7.md): Pull up-to-date Sarvam AI documentation into Claude Code, Cursor, Windsurf, and other AI clients through Context7, the Sarvam docs are pre-indexed, no setup on our side required.
- [Agent Skills](https://docs.sarvam.ai/api/developer-tools/agent-skills.md): Install ready-made Agent Skills for Sarvam's SDKs into Claude Code, Cursor, Windsurf, and other AI coding assistants so they generate correct Sarvam API calls on the first try.