UBOS Asset Marketplace: Finnhub MCP Server - Unlock Real-Time Financial Data for Your AI Agents

In today’s fast-paced financial landscape, timely and accurate data is paramount. The UBOS Asset Marketplace’s Finnhub MCP Server provides a robust solution for integrating real-time financial data into your AI agents, empowering them to make informed decisions and deliver superior insights. This server acts as a crucial bridge, enabling seamless communication between your AI models and the comprehensive Finnhub API.

What is an MCP Server?

Before diving into the specifics of the Finnhub MCP Server, it’s essential to understand the role of an MCP (Model Context Protocol) server. MCP is an open protocol that standardizes how applications provide context to LLMs. Think of it as a universal translator, allowing AI models to access and interpret data from various external sources. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

The Finnhub MCP Server, in particular, is designed to facilitate the integration of Finnhub’s extensive financial data into AI agent workflows. This allows you to build AI agents that can:

• Analyze market trends in real-time: By accessing up-to-the-minute stock quotes and news, your AI agents can identify emerging trends and opportunities.
• Provide personalized financial advice: Based on a user’s portfolio and risk tolerance, AI agents can offer tailored investment recommendations.
• Automate trading strategies: AI agents can execute trades based on pre-defined rules and real-time market conditions.
• Generate insightful financial reports: AI agents can aggregate and analyze data from various sources to create comprehensive reports for investors and analysts.

Key Features of the Finnhub MCP Server

The Finnhub MCP Server offers a range of powerful tools to enhance your AI agent’s capabilities:

• list_news: This tool retrieves the latest market news from Finnhub’s comprehensive market news endpoint. Stay informed about breaking events, company announcements, and economic indicators that can impact your investment decisions. This feature is invaluable for AI agents that need to react quickly to market-moving news.

• get_market_data: Access real-time market data for specific stocks through Finnhub’s quote endpoint. Get up-to-the-minute pricing, volume, and other key metrics to inform your trading strategies. The ability to access real-time market data is crucial for AI agents that are designed to execute trades automatically.

• get_basic_financials: Obtain essential financial information for a particular stock from Finnhub’s basic financials endpoint. Analyze key metrics like revenue, earnings, and debt to assess a company’s financial health and potential for growth. This feature is particularly useful for AI agents that are designed to provide fundamental analysis of stocks.

• get_recommendation_trends: Discover the recommendation trends for a specific stock from Finnhub’s recommendation trend endpoint. Understand what analysts are saying about a company and gauge market sentiment. This feature helps AI agents provide a more comprehensive view of a stock’s potential, incorporating expert opinions alongside raw data.

Use Cases: Powering Your AI Agents with Financial Data

The Finnhub MCP Server unlocks a wide array of use cases for AI agents in the financial domain:

• AI-Powered Portfolio Management: Develop AI agents that can automatically manage investment portfolios based on pre-defined risk profiles and investment goals. These agents can use the Finnhub MCP Server to access real-time market data, analyze financial statements, and generate personalized investment recommendations.

• Automated Trading Bots: Create AI-powered trading bots that can execute trades based on real-time market conditions and pre-defined trading strategies. The get_market_data tool is essential for these bots, allowing them to react quickly to price movements and identify profitable trading opportunities.

• Financial News Aggregation and Analysis: Build AI agents that can automatically aggregate financial news from various sources, analyze sentiment, and identify potential investment opportunities. The list_news tool is crucial for this use case, providing access to the latest market news and allowing the AI agent to stay informed about breaking events.

• Risk Assessment and Management: Develop AI agents that can assess and manage financial risks based on real-time market data and financial statements. The get_basic_financials tool is essential for these agents, allowing them to analyze a company’s financial health and identify potential risks.

• Personalized Financial Advisory: Build AI agents that can provide personalized financial advice to individual investors based on their specific needs and goals. These agents can use the Finnhub MCP Server to gather information about a user’s portfolio, risk tolerance, and investment goals, and then provide tailored recommendations.

Getting Started with the Finnhub MCP Server

Integrating the Finnhub MCP Server into your AI agent workflows is straightforward. Here’s a step-by-step guide:

1. Installation: Install the necessary dependencies using uv sync. Ensure you have uv installed by following the instructions here. Activate the virtual environment with source .venv/bin/activate.

2. Configuration: Set up the .env file with your Finnhub API key credentials:

   FINNUB_API_KEY=<FINNHUB_API_KEY>

3. Server Installation: Run fastmcp install server.py to install the server.

4. Configuration File Update: Locate the Claude Desktop configuration file:

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%/Claude/claude_desktop_config.json

5. Update uv Path: Find the command entry for uv and replace it with the absolute path to the uv executable. This ensures the correct version of uv is used.

6. Restart: Restart Claude Desktop to apply the changes.

Development and Debugging

For local development and debugging, use the command fastmcp dev server.py to start the MCP server. The MCP inspector is a valuable tool for investigating and debugging your server’s functionality.

UBOS: Your Full-Stack AI Agent Development Platform

The UBOS Asset Marketplace and the Finnhub MCP Server are just one piece of the puzzle. UBOS provides a comprehensive, full-stack AI Agent Development Platform designed to empower businesses to build, orchestrate, and deploy AI agents across various departments.

Here’s how UBOS can help you:

• AI Agent Orchestration: Seamlessly manage and coordinate multiple AI agents to achieve complex tasks.
• Enterprise Data Connectivity: Connect your AI agents to your existing enterprise data sources, ensuring they have access to the information they need to succeed.
• Custom AI Agent Development: Build custom AI agents tailored to your specific business needs, leveraging your own LLM models.
• Multi-Agent Systems: Create sophisticated multi-agent systems that can collaborate and solve complex problems.

By leveraging the UBOS platform and the Finnhub MCP Server, you can unlock the full potential of AI agents in the financial domain and drive significant improvements in efficiency, accuracy, and profitability. Embrace the future of finance with UBOS and the Finnhub MCP Server.