MCP Server

MCP Server

A collection of lightweight servers that expose weather and financial capabilities through the Model Context Protocol, allowing users to access weather alerts, forecasts, and financial market data with technical analysis.

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README

Features

Lightweight programs that each expose specific capabilities through the standardized Model Context Protocol

Weather Server

  • Weather Alerts: Fetch active weather alerts for a specific US state.
  • Weather Forecast: Retrieve detailed weather forecasts for a given location.
  • Freshdesk Integration: Create support tickets in Freshdesk.

Finance Module

  • Intraday Market Data: Fetch intraday stock market data using the AlphaVantage API.
  • Technical Analysis:
    • Calculate moving averages (short and long periods).
    • Compute Relative Strength Index (RSI).
  • Trade Recommendations: Generate comprehensive trade recommendations based on technical indicators.

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/mcp-weather-server.git
    cd mcp-weather-server
    
  2. Set up a Python virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    
  3. Install dependencies:

    pip install -r requirements.txt
    
  4. Navigate to the finance module and install its dependencies:

    cd finance
    pip install -r requirements.txt
    

Running the Project

Weather Server

Run the weather server:

python main.py

Finance Server

Run the finance server:

cd finance
python finance_server.py

Weather Demo

Run the weather demo server:

python weather-demo.py

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