The Finance Tools MCP server provides comprehensive financial data analysis and research tools:
Ticker Data Tools: Access detailed ticker reports, options data (filterable by date/strike/type), historical price data with technical indicators and risk metrics, financial statements (income, balance, cash flow), institutional holders, earnings history (with estimates and surprises), insider trades, and news.
Fear & Greed Index Tools: Retrieve current and historical CNN Fear & Greed Index data, and analyze market sentiment trends.
Calculation Tools: Evaluate mathematical expressions using Python and NumPy, and calculate technical indicators with TA-lib (optionally using cached ticker data).
Macro Data Tools: Access current time, FRED database information (GDP, CPI, etc.), and latest breaking news from CNBC, BBC, and SCMP.
Fetches and analyzes Fear & Greed Index data from CNN, providing current values, historical trends, and market sentiment analysis for investment decision-making.
Leverages data from GitHub repositories to provide financial analysis tools, with the finance-tools-mcp being derived from the investor-agent GitHub project.
Integrates with PyPI packages including yfinance for market data retrieval, ta-lib-python for technical indicators, and fredapi for macroeconomic indicators.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Finance Tools MCPshow me the latest stock price and analyst ratings for Apple"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
finance-tools-mcp: A Financial Analysis MCP Server
https://github.com/VoxLink-org/finance-tools-mcp
Overview
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). Modified from investor-agent, it integrates with various data sources and analytical libraries to offer a suite of tools for detailed financial research and analysis.
Related MCP server: AlphaVantage MCP Server
Prerequisites
Python: 3.10 or higher is required.
Package Manager: uv is the recommended package installer and resolver for this project.
Installation
First, install uv if you haven't already:
Ensure uv is in your system's PATH. You might need to restart your terminal or add ~/.cargo/bin to your PATH.
Then, you can run the finance-tools-mcp MCP server using uvx (which executes a package without explicitly installing it into your environment):
To run the server with a FRED API key (for enhanced macroeconomic data access), set it as an environment variable:
You can also run the server using Server-Sent Events (SSE) transport, which might be preferred by some MCP clients:
Or with both the FRED API key and SSE transport:
Usage with MCP Clients
To integrate finance-tools-mcp with an MCP client (for example, Claude Desktop), add the following configuration to your claude_desktop_config.json:
Debugging
You can leverage the MCP inspector to debug the server:
or
For log monitoring, check the following directories:
macOS:
~/Library/Logs/Claude/mcp*.logWindows:
%APPDATA%\Claude\logs\mcp*.log
Development
For local development and testing:
Use the MCP inspector as described in the Debugging section.
Test using Claude Desktop with this configuration:
