Financial AI Agent
Accesses financial market information and news articles through a unified interface with Model Context Protocol (MCP) servers and tool calling.
About
This TypeScript-based AI agent leverages Model Context Protocol (MCP) servers to provide a unified, programmatic interface for financial market data and real-time news. It's designed with a modular client-server architecture, enabling AI agents to access specific financial tools and information via tool calling, facilitating advanced data retrieval and analysis for financial applications.
Key Features
- Client-server and modular architectural design
- 0 GitHub stars
- Comprehensive stock market data (company information, quarterly/annual financials)
- Real-time and query-based news article integration
- Unified interface for accessing financial market data via MCP servers with tool calling
- LangChain agent implementation for advanced capabilities
Use Cases
- Developing applications that require programmatic access to financial reports and company information
- Building custom financial analysis tools with real-time data feeds
- Integrating AI agents with financial market data and news sources
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