Retrieves financial data using a Model Context Protocol (MCP) server, integrated with agentic frameworks.
This project showcases a Model Context Protocol (MCP) server designed to fetch financial data, leveraging the financialdatasets.ai API. The server is integrated with Agno and Smol Agent, demonstrating its ability to work with multiple agentic frameworks in a standardized manner. It provides a consistent protocol for AI applications to access diverse data sources and tools, streamlining the development process and enhancing the responsiveness and accuracy of AI models based on real-time financial data.
Key Features
01Enables AI applications to access diverse data sources and tools.
02Simplifies financial agent development with a consistent protocol.
03Standardizes interactions with financial data sources using MCP.
04Allows AI models to retrieve up-to-date financial information.
050 GitHub stars
06Integrates with Agno and Smol Agent frameworks.
Use Cases
01Integrating financial data into existing agentic workflows.
02Standardizing data access for multiple AI applications.
03Building financial agents that can access real-time data.
