KEY TAKEAWAYS

A REST API is called by your code; an MCP server can be called by the AI assistant directly.
MCP gives compatible clients a discoverable capability contract instead of requiring bespoke wiring for each endpoint.
DalalOS exposes 56 current MCP capabilities; market-data research is read-only and 2 account-scoped actions only manage the caller's DalalOS watchlist.
Judge the data by its sources and freshness, not by the protocol — and DalalOS supplies research 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 each request, a compatible assistant can decide which capability to call based on your natural-language question, then reason over the result. DalalOStakes this approach with 56 current capabilities over streamable HTTP.

REST API vs MCP server at a glance

How an MCP server compares to a REST API for AI stock research
Aspect	MCP server (DalalOS)	Traditional REST API
Who calls it	The AI assistant, directly	Your application code
Integration effort	Client connection/config	Application code required
Best for	AI-assisted research in MCP-capable clients	Custom apps & data pipelines
Capability discovery	Client enumerates MCP tools automatically	Read docs, wire endpoints
DalalOS market-data posture	Read-only research; watchlist writes are account-scoped	Depends on the API design
Data provenance/freshness	Returned by DalalOS where applicable	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 API (beta) is available for teams who do want programmatic access, but the investor-first path is MCP.

Choosing between them

Pick MCP if you mainly work inside AI assistants and want discoverable natural-language research capabilities.
Pick REST if you are building a bespoke application and want low-level request control.
Either way, judge the data by its sources and freshness, not by the protocol.
DalalOS never returns buy/sell calls or target prices and does not place brokerage orders.

Learn more in the REST API reference, 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 protocol contract. DalalOS supports MCP so AI clients can discover capabilities without custom integration code for each tool.

Can I use DalalOS without writing code?

Yes. Because DalalOS speaks MCP, you can connect it to an MCP-capable AI client 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 and implementation, not the delivery protocol. DalalOS uses official/public sources appropriate to each supported domain and returns sourced facts and mechanically-computed measures rather than investment advice.

Is the data real-time in either case?

DalalOS quote-style market data is end-of-day. Other domains follow their publication cadence. It is not a real-time exchange feed regardless of whether you consume it through MCP or REST.

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