MCP Server
by akramsheriff5
The MCP Server provides lightweight programs exposing specific capabilities through the Model Context Protocol. It includes modules for weather information and financial data analysis.
Last updated: N/A
What is MCP Server?
The MCP Server is a collection of lightweight programs designed to expose specific capabilities through the standardized Model Context Protocol. It currently includes modules for retrieving weather information and performing financial data analysis.
How to use MCP Server?
To use the server, clone the repository, set up a Python virtual environment, install dependencies, and run the desired module's server script (e.g., python main.py for the weather server or python finance_server.py for the finance server). Refer to the README for detailed installation and running instructions.
Key features of MCP Server
Weather Alerts (US)
Weather Forecasts
Freshdesk Integration
Intraday Market Data
Technical Analysis (Moving Averages, RSI)
Trade Recommendations
Use cases of MCP Server
Integrating weather data into applications
Automating support ticket creation based on weather events
Analyzing stock market data
Generating trade recommendations
Building financial dashboards
FAQ from MCP Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
The README doesn't define MCP. More context is needed.
What APIs are used for weather data?
What APIs are used for weather data?
The README doesn't specify the weather API used.
What API is used for intraday market data?
What API is used for intraday market data?
The AlphaVantage API is used for intraday stock market data.
How are trade recommendations generated?
How are trade recommendations generated?
Trade recommendations are generated based on technical indicators like moving averages and RSI.
Can I contribute to this project?
Can I contribute to this project?
The README doesn't mention contribution guidelines. Contact the author for more information.