What you get inside Cursor
Once DalalOS is connected, your AI tool gains 20+ read-only tools over streamable HTTP: stock search, end-of-day quotes and 52-week ranges, financials and ratios (PE, PB, ROE, ROCE, D/E), company profiles, peer comparison, shareholding and promoter pledge trends, dividends and corporate actions, screening, sector overviews, indices and upcoming results — across roughly 5,000 NSE and BSE companies from official sources.
How it works
Open MCP settings
In Cursor (or your AI tool), open the MCP server configuration.
Add the endpoint
Add DalalOS with the server key and streamable HTTP URL.
Ask away
Query Indian stocks in natural language; the tool fetches sourced data.
Add the MCP config
Cursor reads MCP servers from a JSON config much like the one below. Use the server key dalal-os and the streamable HTTP endpoint.
{
"mcpServers": {
"dalal-os": {
"url": "https://indianstockdatamcp.duckdns.org/mcp"
}
}
}Example prompts
EXAMPLE PROMPTS
- Pull the latest financials and key ratios for Larsen & Toubro.
- Compare three private banks on ROE and PE and lay it out as a table.
- List upcoming results and corporate actions for my watchlist names.
- Screen mid-cap manufacturers with ROCE above 18% and improving margins.
- Show the constituents of the Nifty IT index with their latest quotes.
For developers and builders
Because every response comes back in one consistent envelope (status, data, source, freshness), it is easy to compose tool calls into personal AI agents for Indian stock research, dashboards, or research scripts. The server is hostable and read-only, which keeps automations safe by design — there are no write or trade actions to misfire.
- Chain tools (search → quote → financials → peers) inside an agent loop.
- Build repeatable research workflows that always cite data freshness.
- Keep the investor framing: the output is data, not advice.
New to the protocol itself? Read the Indian stock market MCP server overview, or compare approaches in Indian stock API vs MCP server.
FAQ
Common questions
Can I use Cursor with DalalOS?
Yes. Cursor supports MCP servers, so you can add DalalOS as an MCP server and query Indian stock market data from inside Cursor using the same read-only tools.
Is this only for developers?
No. While Cursor is popular with builders, DalalOS leads with the investor use case. Anyone comfortable pasting a config snippet can connect their AI tool and research Indian equities — building automations on top is an optional bonus.
Which other AI tools work?
Any MCP-compatible client. The same streamable HTTP endpoint works with Claude, ChatGPT-style agents, Perplexity and other AI agents.
Does it provide real-time or advisory data?
Neither. Data is end-of-day and timestamped, and the server returns raw data and mechanically-computed ratios only — never buy/sell calls or target prices.
Connect your AI to Indian stock market data
Join the waitlist and be first in line when your invite to DalalOS opens.
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