KEY TAKEAWAYS
- A REST API is called by your code; an MCP server is called by the AI assistant directly.
- An MCP server connects with a config snippet — no integration code for the core research workflow.
- DalalOS is an MCP server, so Claude, ChatGPT-style agents and Cursor connect without custom code.
- Judge the data by its sources and freshness, not by the protocol — and both deliver data, not advice.
What each approach is
A REST API exposes URL endpoints. Your software sends a request, receives JSON, and you write code to parse and use it. It is a great fit when you are building a custom application and want full control over every call.
An MCP server exposes tools to AI assistants over the Model Context Protocol. Instead of your code orchestrating requests, the assistant itself decides which tool to call based on your natural-language question, then reasons over the result. DalalOS takes this approach: 20+ read-only tools over streamable HTTP, each returning a consistent envelope of status, data, source and freshness.
REST API vs MCP server at a glance
| Aspect | MCP server (DalalOS) | Traditional REST API |
|---|---|---|
| Who calls it | The AI assistant, directly | Your application code |
| Integration effort | A config snippet — no code | Application code required |
| Best for | AI-assisted research in Claude, ChatGPT, Cursor | Custom apps & data pipelines |
| Response shape | One consistent envelope across tools | Varies per endpoint |
| Tool discovery | Assistant enumerates tools automatically | Read docs, wire each endpoint |
| Data & freshness | Status · data · source · freshness on every call | Depends on the API design |
Where DalalOS fits
DalalOS leads with the MCP approach because the audience is AI-savvy Indian investors who want to research Indian stocks with AI, not necessarily build software. You connect once and ask questions; the assistant handles the tool calls. A REST endpoint is on the roadmap for teams who do want programmatic access, but the investor-first path is MCP.
Choosing between them
- Pick an MCP server if you mainly work inside AI assistants and want plain-English research.
- Pick a REST API if you are building a bespoke application and want low-level control.
- Either way, judge the data by its sources and freshness, not by the protocol.
- Remember both deliver data, not advice — DalalOS never returns buy/sell calls.
Learn more in the Indian stock market MCP server overview, or see how agents consume the data in Indian stock market data for AI agents.
FAQ
Common questions
What is the difference between an Indian stock API and an MCP server?
A REST API exposes endpoints that an application calls and then parses. An MCP server exposes tools that an AI assistant can call directly and reason over, with a consistent response envelope. DalalOS is an MCP server, so AI clients connect without custom integration code.
Can I use DalalOS without writing code?
Yes. Because DalalOS speaks MCP, you connect it to Claude, a ChatGPT-style agent or Cursor with a config snippet and ask in plain English. A traditional API usually needs application code to be useful.
Is one more accurate than the other?
Accuracy depends on the data source, not the delivery method. DalalOS draws from official NSE archives, BSE official APIs and SEBI BSE-XBRL filings, and returns raw data and mechanically-computed ratios only — no advice.
Is the data real-time in either case?
DalalOS data is end-of-day, with financials within the filing cycle and shareholding quarterly. It is not a real-time exchange feed regardless of how it is consumed.
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