finance-tools-mcp
by VoxLink-org
The finance-tools-mcp is a Model Context Protocol (MCP) server designed to provide comprehensive financial insights and analysis capabilities to Large Language Models (LLMs). It integrates with various data sources and analytical libraries to offer a suite of tools for detailed financial research and analysis.
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What is finance-tools-mcp?
The finance-tools-mcp is a Model Context Protocol (MCP) server that provides financial data and analysis tools to Large Language Models (LLMs). It allows LLMs to access ticker data, financial statements, news, and perform calculations, enabling them to conduct detailed financial research and analysis.
How to use finance-tools-mcp?
To use the finance-tools-mcp server, you need to install it using uvx and configure your MCP client (e.g., Claude Desktop) to connect to it. The server exposes various tools via the MCP, which your client can then use to request specific financial data and perform analyses. You can also set a FRED API key if you want to use your own.
Key features of finance-tools-mcp
Comprehensive ticker data tools (overview, news, key metrics, performance, analyst recommendations)
Fear & Greed Index tools (current, historical, trend analysis)
Calculation tools (mathematical expressions using Python's math syntax and NumPy)
Macro data tools (current time, FRED series data, CNBC news feed)
Optimized time series data processing and analysis for LLM consumption
Use cases of finance-tools-mcp
Financial research and analysis by LLMs
Automated generation of financial reports
Investment decision support
Market sentiment analysis
FAQ from finance-tools-mcp
What is an MCP server?
What is an MCP server?
A Model Context Protocol (MCP) server provides data and tools to Large Language Models (LLMs).
How do I install the server?
How do I install the server?
Use the provided installation instructions with uv.
How do I configure my MCP client to use this server?
How do I configure my MCP client to use this server?
Add the provided configuration to your client's configuration file.
What kind of data can I access?
What kind of data can I access?
You can access ticker data, financial statements, news, and perform calculations.
How is the time series data optimized for LLMs?
How is the time series data optimized for LLMs?
The data is analyzed, structured into a digest format, and sampled smartly to provide a representative view without overwhelming the context window.