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

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)

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server that provides stock technical analysis tools (moving averages, RSI, trade recommendations) for AI assistants to analyze stocks and offer trading signals.

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