sarvam-mcp

name	sarvam-mcp
description	Run Indic speech and language tasks through the Sarvam MCP server: translate text, transcribe or dub audio, TTS, localize i18n files, LLM complete, vision extract, or fetch Sarvam API docs/snippets while coding. Use this skill when the user wants Sarvam to act in chat, when sarvam_tools_* / sarvam_code_* are available, or when setting up sarvam-mcp in Cursor, Claude Code, Claude Desktop, Windsurf, Zed, Codex, Gemini CLI, VS Code, Cline, Continue, or LM Studio — even if they only say "translate this to Hindi" or "make it speak." Do not use for LiveKit/Pipecat agent code (voice-agents) or SDK-only coding when MCP is not installed (translate, speech-to-text, text-to-speech, chat).
license	Apache-2.0
compatibility	Requires sarvam-mcp connected (or installable via uvx/pip) and network access to api.sarvam.ai.
metadata	{"author":"sarvam-ai","version":"2.0"}

Sarvam MCP

Drive sarvam-mcp. Prefer MCP tools over inventing HTTP/SDK calls for live work.

Procedure

Copy and track:

- [ ] 1. MCP available? If no → read references/install.md (or fall back to SDK skills)
- [ ] 2. Namespace: live action → sarvam_tools_*; write/lookup code → sarvam_code_*
- [ ] 3. Prefer a composite if the task spans STT/translate/TTS/LLM
- [ ] 4. Call the tool (absolute paths; BCP-47 codes)
- [ ] 5. On auth error → sarvam_tools_set_api_key; on param error → fix and retry
- [ ] 6. Return the result path/text; mention observability only if debugging