Finance
Retrieves financial data using a Model Context Protocol (MCP) server, integrated with agentic frameworks.
About
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
- Enables AI applications to access diverse data sources and tools.
- Simplifies financial agent development with a consistent protocol.
- Standardizes interactions with financial data sources using MCP.
- Allows AI models to retrieve up-to-date financial information.
- 0 GitHub stars
- Integrates with Agno and Smol Agent frameworks.
Use Cases
- Integrating financial data into existing agentic workflows.
- Standardizing data access for multiple AI applications.
- Building financial agents that can access real-time data.