HKUDS/Vibe-Trading
Vibe-Trading is an AI-powered personal trading agent designed to assist with algorithmic trading, backtesting, and quantitative finance, leveraging large language models and multi-agent systems.
Awesome MCP › Finance & Trading
financial-datasets/mcp-server
The financial-datasets/mcp-server project is a Model Context Protocol (MCP) server designed to provide AI assistants, such as Claude, with seamless access to comprehensive stock market and cryptocurrency data from Financial Datasets. This server acts as an interface that allows AI systems to retrieve a wide range of financial information including income statements, balance sheets, cash flow statements, current and historical stock prices, and company news. Additionally, it supports cryptocurrency data access by providing tools to get available crypto tickers, current prices, and historical price data for various cryptocurrencies. The server is built to be easily set up and integrated with AI assistants through the MCP interface. It requires Python 3.10 or higher and uses the uv package manager for dependency management and running the server. The setup process involves cloning the repository, installing dependencies, configuring environment variables with API keys, and running the server. The project documentation provides detailed instructions for installation and configuration, including how to connect the server to Claude Desktop, enabling users to access financial tools directly within the Claude AI environment. The MCP server exposes multiple tools that facilitate querying different types of financial data. These tools include functions to fetch income statements, balance sheets, cash flow statements, current and historical stock prices for companies, as well as company news. For cryptocurrencies, it offers tools to list available crypto tickers and retrieve both current and historical price data. This makes the server a versatile resource for AI applications that require up-to-date and historical financial data for analysis, decision-making, or reporting. Overall, the financial-datasets/mcp-server project provides a robust and user-friendly MCP server implementation that bridges AI assistants with rich financial datasets, enhancing their capability to deliver informed responses related to stock market and cryptocurrency information.
https://github.com/financial-datasets/mcp-server
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