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Google ADK + Zerodha MCP + LLMs: Autonomous portfolio analysis in…

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Google ADK + Zerodha MCP + LLMs: Autonomous portfolio analysis in action.

Modern financial analysis is rapidly moving toward automation and agentic workflows. Integrating large language models (LLMs) with real-time financial data unlocks not just powerful insights but also new ways of interacting with portfolio information.

This experiment brings together secure browser-based authentication, live data retrieval from Zerodha’s MCP, and LLM-driven risk and performance analytics—all orchestrated autonomously.

This is a starter kit to get you going, but it can be extended to support sophisticated, fully automated quantitative models—simply by crafting effective prompts.

I’ve made the experiment available on my GitHub repo. Please feel free to explore or adapt it for your own agentic financial analysis workflows.

Code and documentation:
https://lnkd.in/gme977GG