A lightweight MCP server empowering LLM clients with Indic language processing: translation, transliteration, language identification, and chat with Sarvam AI models.
An MCP server providing tools for speech-to-text, translation, language detection, question answering, and text-to-speech using Sarvam AI models, enabling multilingual voice agents.
Enables LLM-based clients to perform Indic language processing including translation, transliteration, language identification, and chat with the SarvamAI-M model.
Production-grade MCP server for Indian agriculture and utility workflows, enabling crop advisory, weather checks, mandi prices, and railway utilities through natural language.
A TypeScript-based MCP server that integrates with Swagger/OpenAPI specifications to expose API endpoints as tools for Large Language Models (LLMs), enabling natural language interaction with any OpenAPI-compliant API.