Finnhub MCP Server

Overview

The Finnhub MCP Server bridges the gap between Claude‑style AI assistants and real‑time financial data by exposing Finnhub’s public API through the Model Context Protocol. Developers can query market news, current stock quotes, basic financial statements, and analyst recommendation trends directly from an AI conversation without leaving the assistant’s interface. This eliminates the need for custom integration code, allowing rapid prototyping of finance‑centric applications and reducing latency by keeping data retrieval within the same context pipeline.

At its core, the server implements four intuitive tools. The tool pulls the latest market headlines from Finnhub’s market‑news endpoint, giving assistants up‑to‑date context on economic events that may influence portfolio decisions. retrieves the current quote for any ticker, enabling real‑time price checks or trend analyses. fetches foundational financial metrics such as revenue, net income, and earnings per share, while exposes analyst sentiment shifts over time. Each tool follows a simple request‑response pattern, returning structured JSON that Claude can embed into the conversation or pass to downstream processes.

For developers, this server offers several practical advantages. First, it abstracts authentication: a single environment variable holds the Finnhub API key, and the MCP handles token management transparently. Second, by conforming to the MCP schema, the server automatically integrates with Claude Desktop’s tool‑use framework, allowing users to invoke financial queries as natural language commands. Third, the modular design means additional Finnhub endpoints can be added with minimal effort, keeping the server future‑proof as new data streams emerge.

Typical use cases include building an AI‑powered trading assistant that can answer “What’s the latest news affecting Apple?” or “Show me Apple’s revenue trend and analyst recommendations.” Financial analysts can prototype risk models that pull live data into a conversational interface, while educational platforms might use the server to teach students how market events correlate with company fundamentals. Because all data flows through MCP, security is confined to the server’s single authentication token, simplifying compliance and audit trails.

In summary, the Finnhub MCP Server delivers a turnkey solution for integrating comprehensive market data into AI workflows. By exposing key financial endpoints as ready‑to‑use tools, it empowers developers to create richer, data‑driven conversational experiences without the overhead of custom API plumbing.