Finnhub FAQs

Question 1

Can I manage and store my financial data using Finnhub?

Accepted Answer

Yes, Finnhub supports project-based storage, allowing you to organize and save your retrieved data. It also features automatic CSV/JSON exports and background job processing for handling large datasets efficiently.

Question 2

How does Finnhub integrate with AI assistants?

Accepted Answer

Built on the Model Context Protocol, Finnhub offers 15 specialized MCP Tools that AI assistants can invoke directly. This allows AI to fetch and analyze financial data through natural language requests, making complex data accessible.

Question 3

What types of financial data does Finnhub provide?

Accepted Answer

It provides a wide range of data including real-time quotes, candles, tick data, over 50 technical indicators, company fundamentals (financials, earnings), and multi-asset support for stocks, crypto, forex, ETFs, and bonds.

Question 4

What is Finnhub (mcp-finnhub)?

Accepted Answer

Finnhub (mcp-finnhub) is an MCP (Model Context Protocol) server designed to give AI assistants, like Claude Desktop, comprehensive access to the Finnhub financial market data API. It enables AI to seamlessly retrieve and analyze real-time market data.

Question 5

What are the prerequisites to start using Finnhub?

Accepted Answer

To use Finnhub, you need Python 3.11 or higher, a Finnhub API key (free tier available), and a compatible MCP client such as Claude Desktop. Installation is straightforward via PyPI or source.

Finnhub

Key Features

Use Cases

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Key Features

Use Cases