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Financial Modeling Prep

cfocoderbycfocoder
•
API Development
Data Science & ML
Analytics & Monitoring

Empowers AI assistants to access and analyze comprehensive financial data, stock information, company fundamentals, and market insights.

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This server implements the Model Context Protocol (MCP) for Financial Modeling Prep, providing a structured interface for AI assistants to interact with a vast array of financial data. It enables AI models to retrieve and analyze real-time stock quotes, in-depth company fundamentals, various financial statements, market performance metrics, economic data, and alternative datasets, facilitating advanced financial analysis and intelligent decision-making for a wide range of applications.

Key Features

01Tool Set Filtering: Load only the tools needed to reduce complexity and improve performance
020 GitHub stars
03Comprehensive Coverage: Access to 253+ financial tools across 24 categories
04Real-time Data: Live stock quotes, market data, and financial information
05Financial Statements: Income statements, balance sheets, cash flow statements, and financial ratios
06Dynamic Toolset Management: Enable and disable tool categories at runtime for flexible, task-specific workflows

Use Cases

01Integrating AI assistants with up-to-date financial market data for analysis
02Developing applications requiring flexible, on-demand access to financial statements and company profiles
03Building robust financial analysis tools leveraging real-time market insights and economic indicators