Finmap MCP Server

Overview

The Finmap MCP Server delivers a unified, real‑time data feed for major global equity markets. By exposing a single MCP interface, it lets AI assistants pull historical and current market metrics—such as sector composition, ticker listings, company profiles, market capitalization, trading volume, and trade counts—from eight key exchanges: NYSE, NASDAQ, AMEX, the combined US market, LSE, HKEX, Borsa Istanbul, and Moscow Exchange. The server’s data is refreshed at frequencies ranging from every 15 minutes for the Moscow Exchange to hourly updates for most US and UK exchanges, ensuring that AI agents can provide users with up‑to‑date insights without manual data ingestion.

For developers building finance or investment applications, this MCP server eliminates the need to manage multiple API keys, data parsers, and refresh schedules. Instead of integrating separate services for each exchange, an AI assistant can issue a single call to discover available markets and then request sector, ticker, or company data through the same protocol. The server also offers visual tools—treemaps and histograms—that can be rendered directly within an AI chat, enabling quick exploratory analysis of market structure or historical price distributions.

Key capabilities include:

• Comprehensive Exchange Coverage: Eight exchanges spanning the United States, United Kingdom, Hong Kong, Turkey, and Russia. Each exchange’s metadata—country, currency, earliest available date, and update cadence—is returned in a single structured response.
• Rich Market Data: Access to sector breakdowns, ticker listings, company profiles, and granular trading statistics (volume, value, trade counts) across all supported markets.
• Visual Analytics: Built‑in treemap and histogram generation allows an AI assistant to present complex market snapshots in a digestible format, useful for portfolio overviews or trend spotting.
• High‑Frequency Refresh: Depending on the exchange, data can be updated as often as every 15 minutes, providing near real‑time market visibility for time‑sensitive use cases.

Typical use cases span from financial education tools that let students explore global market structures, to portfolio management assistants that continuously monitor sector exposure and trade volumes. Risk analysts can query historical trade counts to assess liquidity, while traders might use the treemap visualizations to spot undervalued sectors. Because the MCP server aggregates data across multiple jurisdictions, it is especially valuable for AI assistants that support cross‑border investment advice or comparative market analysis.

Integrating Finmap into an AI workflow is straightforward: a developer configures the MCP server in their assistant’s settings, then calls or any of the other exposed tools via natural language prompts. The assistant can then embed returned JSON data or visualizations directly into chat responses, offering users a seamless, data‑rich experience without the overhead of managing disparate APIs. The server’s consistent schema and real‑time updates give developers a powerful, low‑maintenance backbone for building sophisticated financial AI applications.