- Stock Market Research Assistant
Stock Market Research Assistant
So I tried out this cool tool I saw in a LinkedIn post — https://openapitools.com. All you need is your API schema (OpenAPI/Swagger), and it automatically generates an MCP schema for you. You can then drop it straight into Claude Desktop (or Cursor, LangChain, etc.) and instantly start chatting with your API. Super clean and insanely useful for research or prototyping!
Overview
🚀 Build an AI-Powered Stock Market Research Assistant using OpenAPI Tools + MCP (in 5 Minutes)
Ever wanted to talk to the stock market like a research analyst?
I just built a personal stock research assistant for Indian markets—powered by OpenAPI Tools + MCP (Model Context Protocol)—and it only took about 5 minutes. 💬📈
With it, you can ask questions like:
- “Give me the last 5 years of stock performance for INFY”
- “What are the top 10 BSE movers today?”
- “Show me upcoming IPOs in India this month”
- “Which mutual funds have outperformed the index recently?”
Built using GenAI, OpenAPI schemas, and the MCP standard — no frontend required.
🧩 What You'll Need
- ✅ OpenAPI Tools → https://openapitools.com
- ✅ Indian Stock Exchange API via RapidAPI
- ✅ Claude Desktop / Cursor / LangChain (MCP-compatible clients)
- ✅ Template Repo → https://github.com/kvssankar/openapitools-mcp
- ✅ One config file & one CLI command — that’s it!
🛠️ Step-by-Step: How It Works
1. 🧾 Pick Your API (Indian Stock Exchange API)
Use the free or paid version from RapidAPI:
👉 https://rapidapi.com/stock-api/api/nse-stock-market-india
Download its OpenAPI schema (swagger.json or .yaml).
2. ⚙️ Generate Your MCP Schema
Install OpenAPI Tools CLI:
npm install -g @openapitools/openapitools
Server Config
{
"server_name": "anthropic-mcp-server",
"host": "0.0.0.0",
"port": 8000,
"server_version": "0.1.0",
"tool_names": [],
"mode": "stdio",
"refresh_time_minutes": 1440,
"envs": {
"x_api_key": "sk-live-rAETxrBOMAYuKVGxbmMgqQlfPoFGsCcu7csbO1PJ"
}
}Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
kvssankarStar
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