Yahoo Finance Model Context Protocol (MCP) for LLaMA 3.2 3B

This repository contains a Model Context Protocol (MCP) implementation that integrates Yahoo Finance API with LLaMA 3.2 3B. The MCP allows the model to retrieve real-time financial data, stock information, and market news while preserving all of LLaMA's regular capabilities.

Features

Get real-time stock prices directly within LLaMA 3.2 3B
Retrieve detailed company information (sector, industry, market cap, etc.)
Fetch historical stock data with customizable time periods and intervals
Get latest market news headlines
Seamlessly enhances LLaMA's capabilities without interfering with non-financial queries

Related MCP server: StockFlow MCP Server

Requirements

Python 3.8+
Ollama - For running LLaMA 3.2 3B locally
LLaMA 3.2 3B model pulled in Ollama
Python packages:
- ollama
- yfinance
- requests
- pandas

Installation

Install Ollama from https://ollama.ai/
Pull the LLaMA 3.2 3B model using Ollama:
ollama pull llama3.2:3b
Clone this repository:
git clone <repository-url> cd mcp_yahoo_finance
Install the required Python dependencies:
pip install -r requirements.txt

Usage

Running the MCP with Ollama Integration

To use the Yahoo Finance MCP with LLaMA 3.2 3B through Ollama:

python mcp_ollama_integration.py

This will start an interactive session where you can:

Ask financial questions that will be enriched with Yahoo Finance data
Ask any other questions which will be handled normally by LLaMA 3.2 3B

Example Queries

Financial Queries (Enhanced with Yahoo Finance data)

"What is the current price of Apple stock?"
"Tell me about Tesla as a company"
"How has Microsoft's stock performed over the past month?"
"What are the latest market news headlines?"
"What is the 52-week high for Amazon?"
"What sector does Nvidia operate in?"
"How has the S&P 500 performed this year?"

Non-Financial Queries (Handled normally by LLaMA)

"What is the capital of France?"
"Explain quantum computing"
"Write a poem about autumn"
"What is the Pythagorean theorem?"

Using a Different LLaMA Model

You can specify a different model with the --model parameter:

python mcp_ollama_integration.py --model llama3.2:8b

How It Works

The MCP analyzes each user query to determine if it's finance-related
For financial queries, it:
- Identifies the relevant financial function to call (price, info, history, news)
- Calls the Yahoo Finance API through the MCP
- Formats the real-time data and feeds it to LLaMA 3.2 3B as context
- LLaMA 3.2 3B provides a natural response incorporating the financial data
For non-financial queries, it passes them directly to LLaMA 3.2 3B without modification

This approach seamlessly enhances LLaMA's capabilities with real-time financial data while preserving all of its original functionality.

Advanced Usage

Direct API Functions

If you want to use the Yahoo Finance MCP functions directly in your code:

from yahoo_finance_mcp import YahooFinanceMCP # Initialize the MCP mcp = YahooFinanceMCP() # Get stock price price_data = mcp.execute_function("get_stock_price", {"symbol": "AAPL"}) # Get company information company_data = mcp.execute_function("get_stock_info", {"symbol": "TSLA"}) # Get historical data history_data = mcp.execute_function("get_stock_history", {"symbol": "MSFT", "period": "1mo"}) # Get market news news_data = mcp.execute_function("get_market_news", {"limit": 5})

Troubleshooting

"Error connecting to Ollama": Make sure Ollama is installed and running
Company not found: Try using the official ticker symbol instead of the company name
LLaMA 3.2 3B model not found: Run ollama pull llama3.2:3b to download the model