Stock Analysis MCP Server

A simple MCP (Model Context Protocol) server that provides basic stock technical analysis tools for AI assistants.

Features

• Moving Averages: Calculate short and long-term moving averages

• RSI Analysis: Relative Strength Index calculations

• Trade Recommendations: Basic buy/sell/hold signals based on technical indicators

Related MCP server: Financial Datasets MCP Server

Installation

# Clone the repository
git clone https://github.com/TanayPhatak/MCP_Finance.git

# Create a virtual environment and activate it
uv venv
.venv\Scripts\activate  # for Windows
.venv/bin/activate  # for Linux

# Install dependencies
uv sync

Configuration

Create a .env file:

ALPHA_VANTAGE_API_KEY=your_api_key_here

Get your free API key from Alpha Vantage.

Usage

Start the server (dev):

mcp dev stock_analysis_server.py  # this will start a dev environment where you can test the tools

Integrate the MCP server with Claude Desktop:

Ensure Claude desktop is installed (Download Link)

mcp install stock_analysis_server.py --with requests --with pandas --with tabulate

Restart Claude Desktop after running the above command.

Tools offered

The server provides these tools:

• calculate_moving_averages - Get MA analysis for a stock symbol

• calculate_rsi - Get RSI analysis for a stock symbol

• trade_recommendation - Get comprehensive buy/sell recommendation

Example prompts with Claude

Analyze AAPL stock using moving averages.
Get RSI for MSFT.
What's your recommendation for Google stock?
Should I buy or sell Apple stocks?

Requirements

• Python 3.9+

• Alpha Vantage API key

• UV package manager (or pip)