MCP Server - GitHub and AlphaVantage API Integration

What is MCP Server - GitHub and AlphaVantage API Integration?

This MCP server integrates the GitHub and AlphaVantage APIs to provide tools for fetching GitHub user and repository details, searching repositories, and performing technical analysis on stock market data.

How to use MCP Server - GitHub and AlphaVantage API Integration?

Install Python (≥3.8) and the uv package manager. Clone the repository, install dependencies with uv add -r 'requirements.txt', set your AlphaVantage API key in the .env file as finance_server=apikey, then run mcp install finance_server.py and mcp install githubMCP.py.

Key features of MCP Server - GitHub and AlphaVantage API Integration

• Search GitHub users and repositories.
• Fetch details of a GitHub user or repository.
• Retrieve public repositories of a GitHub user.
• Fetch intraday stock data from AlphaVantage.
• Calculate moving averages on stock data.
• Identify bullish or bearish trends.
• Detect golden and death crosses.

Use cases of MCP Server - GitHub and AlphaVantage API Integration

• Analyze GitHub profiles and repository metrics programmatically.
• Perform technical stock market analysis alongside repository data.
• Automate research combining GitHub activity with financial indicators.
• Build conversational tools that query both GitHub and stock data.

FAQ from MCP Server - GitHub and AlphaVantage API Integration

What dependencies are required?

Python version 3.8 or higher, the uv package manager, and the packages listed in requirements.txt.

How do I set up the AlphaVantage API key?

Add it to the .env file under the variable name finance_server=apikey.

What commands should I run to start the server?

Run mcp install finance_server.py and mcp install githubMCP.py after setting up dependencies.

What license is this project under?

The project is open-source under the MIT License (implied by “open-source”, though license file not shown).

What stock market features does the server support?

It fetches intraday data, calculates moving averages, identifies bullish/bearish trends, and detects golden/death crosses.