Announcing Upstox MCP: Your Trading Data Now Works with AI Assistants

We’re excited to launch Upstox Model Context Protocol (MCP) — a powerful integration that connects your Upstox trading account directly with AI assistants like Claude Desktop and Visual Studio Code (with GitHub Copilot).

This transforms generic AI tools into personalized, context-aware financial research assistants that understand your real portfolio, positions, margins, and market exposure.

:link: Explore the official docs :backhand_index_pointing_right: https://upstox.com/developer/api-documentation/mcp-
integration/
:link: GitHub (MCP Server) :backhand_index_pointing_right: GitHub - upstox/mcp-server-upstox-api

What Makes This Powerful?
Unlike traditional AI tools that rely only on public information, Upstox MCP enables account-scoped intelligence:

:white_check_mark: Portfolio-level insights based on your actual holdings
:white_check_mark: Real-time market data integrated into conversations
:white_check_mark: Natural language queries mapped to live API data
:white_check_mark: Personalized research aligned to your current allocation
:white_check_mark: Portfolio correlation & beta analysis
:white_check_mark: Margin visibility & account summaries

Now you can ask:

“Analyze my current portfolio risk and sector exposure.”
“Find the beta of my portfolio vs NIFTY over 3 years.”
“Should I continue holding these stocks based on technical + fundamental trends?”

And get answers grounded in your real data.

Built for Traders, Quants & Developers

Whether you’re:

 A discretionary trader
 An options strategist
 A quant building models
 Or a developer working in VS Code

Upstox MCP integrates seamlessly into your workflow.

Secure by Design

 OAuth-based authentication
 Daily re-authorization for safety
 Read-only access (no trade execution via AI)

Your trading decisions remain yours — AI simply enhances your research depth.

Why This Matters

We believe the future of trading is AI-assisted, context-aware, and personalized.

Upstox MCP bridges the gap between:

 Trading APIs
 AI Intelligence
 Real Portfolio Data

This is not just API integration — this is the foundation of AI-native investing workflows.

If you’re building in fintech, algo trading, or AI-powered analytics — we’d love your feedback.

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