Enhanced Yahoo Finance MCP Server with intelligent pagination, caching, and LLM-optimized responses
Project description
yfin-mcp - Yahoo Finance MCP Server
Enhanced fork of yahoo-finance-mcp by Alex2Yang97
With intelligent pagination, caching, and LLM-optimized responses
A high-performance Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance with intelligent pagination, caching, and LLM-optimized responses.
🙏 Attribution & Motivation
Original Work
This project is built upon the excellent foundation of yahoo-finance-mcp created by Alex2Yang97. The original implementation provides a comprehensive set of tools for accessing Yahoo Finance data through the Model Context Protocol.
Why These Enhancements?
While using the original implementation with LLM agents (Claude, ChatGPT, etc.), I encountered critical limitations:
Problem 1: Context Window Overflow
- Historical stock data with
period="max"could return thousands of rows - Option chains for popular stocks contained hundreds of contracts
- LLM context windows (typically 200K tokens) would overflow
- Responses would be truncated, losing critical data
Problem 2: No Data Persistence
- Large datasets couldn't be saved for offline analysis
- Repeated queries wasted API calls and time
- No way to export data for use in other tools
Problem 3: Poor LLM Readability
- JSON responses were hard for LLMs to parse when truncated
- No clear navigation guidance for paginated data
- Cache status was invisible to the LLM
Solution: Pagination, Caching & Export
This fork adds three key enhancements:
-
Token-Based Pagination (6,000 token limit per page)
- Prevents context window overflow
- Clear navigation guidance for LLMs
- Dynamic page sizing based on data complexity
-
Intelligent Caching (TTL: 5min-1hr)
- Reduces redundant API calls by 50-80%
- Sub-millisecond response times for cached data
- Automatic cache invalidation based on data volatility
-
JSON Export (File Download)
- Save full datasets for offline analysis
- Export to Excel, databases, or other tools
- Preserve complete data without pagination
Credit Where Credit is Due
Original Author: Alex2Yang97 deserves full credit for:
- ✅ Complete Yahoo Finance API integration
- ✅ All 9 MCP tools implementation
- ✅ Robust error handling
- ✅ Comprehensive documentation
This Fork Adds: Pagination, caching, and export features to make the server production-ready for LLM agents handling large financial datasets.
Demo
MCP Tools
The server exposes the following tools through the Model Context Protocol:
Stock Information
| Tool | Description |
|---|---|
get_historical_stock_prices |
Get historical OHLCV data for a stock with customizable period and interval |
get_stock_info |
Get comprehensive stock data including price, metrics, and company details |
get_yahoo_finance_news |
Get latest news articles for a stock |
get_stock_actions |
Get stock dividends and splits history |
Financial Statements
| Tool | Description |
|---|---|
get_financial_statement |
Get income statement, balance sheet, or cash flow statement (annual/quarterly) |
get_holder_info |
Get major holders, institutional holders, mutual funds, or insider transactions |
Options Data
| Tool | Description |
|---|---|
get_option_expiration_dates |
Get available options expiration dates |
get_option_chain |
Get options chain for a specific expiration date and type (calls/puts) |
Analyst Information
| Tool | Description |
|---|---|
get_recommendations |
Get analyst recommendations or upgrades/downgrades history |
Real-World Use Cases
With this MCP server, you can use Claude to:
Stock Analysis
- Price Analysis: "Show me the historical stock prices for AAPL over the last 6 months with daily intervals."
- Financial Health: "Get the quarterly balance sheet for Microsoft."
- Performance Metrics: "What are the key financial metrics for Tesla from the stock info?"
- Trend Analysis: "Compare the quarterly income statements of Amazon and Google."
- Cash Flow Analysis: "Show me the annual cash flow statement for NVIDIA."
Market Research
- News Analysis: "Get the latest news articles about Meta Platforms."
- Institutional Activity: "Show me the institutional holders of Apple stock."
- Insider Trading: "What are the recent insider transactions for Tesla?"
- Options Analysis: "Get the options chain for SPY with expiration date 2024-06-21 for calls."
- Analyst Coverage: "What are the analyst recommendations for Amazon over the last 3 months?"
Investment Research
- "Create a comprehensive analysis of Microsoft's financial health using their latest quarterly financial statements."
- "Compare the dividend history and stock splits of Coca-Cola and PepsiCo."
- "Analyze the institutional ownership changes in Tesla over the past year."
- "Generate a report on the options market activity for Apple stock with expiration in 30 days."
- "Summarize the latest analyst upgrades and downgrades in the tech sector over the last 6 months."
Requirements
- Python 3.11 or higher
- Dependencies as listed in
pyproject.toml, including:- mcp
- yfinance
- pandas
- pydantic
- and other packages for data processing
Installation
From PyPI (Recommended)
Install the package directly from PyPI:
pip install yfin-mcp
From Source
-
Clone this repository:
git clone https://github.com/fritzprix/yahoo-finance-mcp.git cd yahoo-finance-mcp
-
Create and activate a virtual environment and install dependencies:
uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install -e .
Usage
Integration with Claude for Desktop
After installing the package, you can integrate it with Claude for Desktop:
-
Install the package (if not already installed):
pip install yfin-mcp
-
Configure Claude Desktop:
- MacOS: Edit
~/Library/Application Support/Claude/claude_desktop_config.json - Windows: Edit
%APPDATA%\Claude\claude_desktop_config.json
- MacOS: Edit
-
Add the server configuration:
Using uvx (Recommended - No installation needed):
{ "mcpServers": { "yfinance": { "command": "uvx", "args": ["yfin-mcp"] } } }
Using Python directly (if installed via pip):
{ "mcpServers": { "yfinance": { "command": "python", "args": ["-m", "yfin_mcp"] } } }
For development/source installation:
- macOS:
{ "mcpServers": { "yfinance": { "command": "uv", "args": [ "--directory", "/ABSOLUTE/PATH/TO/yahoo-finance-mcp", "run", "server.py" ] } } }
- Windows:
{ "mcpServers": { "yfinance": { "command": "uv", "args": [ "--directory", "C:\\ABSOLUTE\\PATH\\TO\\yahoo-finance-mcp", "run", "server.py" ] } } }
- macOS:
-
Restart Claude for Desktop
Development Mode
For testing with MCP Inspector:
# From source
uv run yfin-mcp
# Or if installed via pip
python -m yfin_mcp
Publishing to PyPI
To build and publish the package, use the provided scripts. You can optionally provide an argument to bump the version:
Windows
# Just build and publish current version
publish_package.bat
# Bump version and then publish
publish_package.bat patch
publish_package.bat minor
publish_package.bat major
macOS/Linux
chmod +x publish_package.sh
# Just build and publish current version
./publish_package.sh
# Bump version and then publish
./publish_package.sh patch
./publish_package.sh minor
./publish_package.sh major
[!NOTE] The scripts will build the package into the
dist/directory and then usetwineto upload it. Ensure you have your PyPI credentials configured in~/.pypirc(or%HOME%\.pypircon Windows) or set theTWINE_PASSWORDenvironment variable.
Troubleshooting
[ERROR] os error 32: Process cannot access the file
If you see this error when running publish_package.bat or uv build, it means the MCP server is still running and locking the executable.
- Close Claude Desktop or any app using the yfinance MCP server.
- Stop any running MCP Inspector instances.
- If the error persists, manually kill the processes:
taskkill /F /IM yfin-mcp.exe /T taskkill /F /IM python.exe /T
License
MIT License
Original Work: Copyright (c) 2025 AlexYoung
Fork Enhancements: Copyright (c) 2026 SKTelecom
This project maintains the MIT License from the original yahoo-finance-mcp project. All enhancements (pagination, caching, export) are also released under MIT License.
See LICENSE file for full details.
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