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, so you skip bespoke wiring for each endpoint.
DalalOS exposes 59 current MCP capabilities. It reads market figures from cache, its filing tools can queue processing and use quota, and 2 account-scoped actions manage the caller's DalalOS watchlist.
Judge the data by its sources and freshness. DalalOS supplies research data and no 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 suits a custom application where you want full control over every call.

An MCP server exposes tools to AI assistants over the Model Context Protocol. A compatible assistant picks the capability to call from your natural-language question, then reasons over the result, so your code orchestrates none of it. DalalOS takes this approach with 59 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	Cached research data; filing processing and account-scoped watchlist actions	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 its audience is AI-savvy Indian investors who want to research Indian stocks with AI instead of building software. You connect once and ask questions, and the assistant handles the tool calls. A REST API (beta) is available for teams that 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.
DalalOS returns no 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. DalalOS speaks MCP, so you connect it to an MCP-capable AI client and ask in plain English. Most traditional APIs need application code to be useful.
Is one more accurate than the other?: Accuracy depends on the data source and the implementation. The delivery protocol does not change it. DalalOS uses official/public sources appropriate to each supported domain and returns sourced facts and measures computed from fixed formulas. It gives no 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. DalalOS is not a real-time exchange feed, whether you consume it through MCP or REST.

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