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What is Financial MCP Server?

The Financial MCP Server is a powerful, hybrid financial data platform that provides comprehensive market analysis capabilities through both the Model Context Protocol (MCP) and traditional REST API endpoints.

MCP Protocol Support

Native integration with AI agents like Claude through the Model Context Protocol

REST API

Traditional REST endpoints for frontend applications and web services

Dual Data Sources

YFinance library for free data and FMP API for professional-grade information

32 Financial Tools

Comprehensive suite of market analysis, screening, and financial data tools

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Key Features

  • Live stock quotes and market information
  • Market gainers, losers, and most active stocks
  • Sector performance analysis
  • Cryptocurrency and commodity prices
  • Company financial statements (Income, Balance Sheet, Cash Flow)
  • Key financial metrics and ratios
  • DCF valuation models
  • Analyst estimates and price targets
  • Multi-criteria stock screening
  • Options chain analysis
  • Technical indicators (RSI, MACD, Moving Averages)
  • Insider trading and government trades tracking
  • Native MCP protocol support for AI agents
  • Structured data responses optimized for AI consumption
  • Error handling and rate limiting for reliable AI interactions

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Architecture Overview

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Quick Stats

6 YFinance Tools

Native Python library for free financial data

26 FMP Tools

Professional-grade Financial Modeling Prep API

Production Ready

Deployed on Railway with comprehensive error handling

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Use Cases

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For AI Developers

  • Integrate financial analysis directly into AI applications
  • Access real-time market data through MCP protocol
  • Build financial chatbots and analysis tools

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For Web Developers

  • Create financial dashboards and applications
  • Access comprehensive market data via REST API
  • Build trading platforms and portfolio trackers

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For Financial Analysts

  • Automate financial research and analysis
  • Screen stocks based on multiple criteria
  • Track insider trading and market movements

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Getting Started

1

Installation

Set up the server locally or deploy to production
2

Configuration

Configure API keys and environment variables
3

Integration

Connect your AI agent or frontend application
Ready to get started? Check out our Quickstart Guide to have your server running in minutes!