Build an AI Trading MCP Server Using Dhan APIs (Step-by-Step)

What if AI agents could safely trade Indian markets? In this video, we build an MCP (Model Context Protocol) server on top of Dhan trading APIs, turning raw trading endpoints into AI-native tools. You’ll learn how to: Build an MCP server from scratch Wrap Dhan HQ trading APIs for AI usage Expose tools for market data & order execution Connect AI models to real trading workflows Design a safer, scalable AI trading architecture This isn’t a trading strategy video — it’s infrastructure for: AI trading agents Algorithmic trading systems Chat-based trading tools Indie trading products 🔹 Who this video is for ✅ Developers ✅ AI / LLM engineers ✅ Algo traders ✅ Indie hackers building in India 🔹 Key Concepts Covered MCP (Model Context Protocol) explained AI + Trading API architecture Tool-based AI integration Dhan HQ API overview Server-side trade safety & abstraction 🔹 Why MCP for Trading? Trading APIs are rigid. MCP makes them AI-native, safe, and reusable. If you’re building AI agents for finance, this architecture will save you weeks of glue code. Chapters: 00:38 Dhan Documentation 01:00 Understanding API Key and secret for login 06:35 Start building MCP server 12:11 First round of testing 12:59 Fixing the error 15:46 Second round of testing 15:55 Successful login from MCP 17:30 Adding another tool 21:27 Add Order tools 28:35 Testing the Place order tool 40:39 Conclusion 40:48 Like,Share and Subscribe Happy to take in any questions on the video !! Important Links: GitHub repo of Dhan MCP server with order capabilities-https://github.com/harshitdynamite/Dh... Official v2 DhanHQ API documentation https://dhanhq.co/docs/v2/ Get segment wise SecurityId list https://dhanhq.co/docs/v2/instruments/ ex: curl --location 'https://api.dhan.co/v2/instrument/{exchangeSegment}' \ Segment mapping: https://dhanhq.co/docs/v2/annexure/#e... #aitrading #mcpserver #DhanAPI #algotrading #tradingapps #tradinginstockmarket #llm #indiastockmarket #fintechindia #systemdesign #aideveloper #buildinpublic #tradingbot 👉 Like, Subscribe & Comment if you want more AI + Trading + Infra content 👉 Ask questions below — I reply to dev-level comments