The Alpaca MCP server is a model context protocol (MCP) service that implements the Alpaca trading API, allowing large language models to interact with the Alpaca trading system through natural language, supporting stock/options trading, portfolio management, and real-time market data acquisition.

This project integrates the Zerodha trading platform with Claude AI through the MCP framework to enable direct operation of stock and fund trading functions through AI.

The Alpaca MCP Server is a protocol service that connects LLMs such as Claude with the Alpaca trading API, supporting stock trading, account management, and market data query through natural language.

The DhanHQ trading assistant is an AI-based trading auxiliary tool that realizes stock trading, portfolio management, and account query functions through natural language interaction, supporting various order types and intelligent trading strategies.

QMT-MCP-Server is a server application that connects to the Xuntou QMT trading system and provides stock trading capabilities for AI models through the MCP protocol.

A stock data service project based on Spring Boot and Spring AI, providing functions for real-time stock trading information, intraday price, and company details query.

The Volume Wall Detector MCP is a stock trading volume analysis server based on the MCP protocol, providing functions such as real-time trading volume analysis, price level detection, and trading imbalance tracking, and supporting connections with multiple MCP clients.

QMT-MCP-Server is a server application that connects to the Xuntou QMT trading system. It provides stock trading function interfaces for AI models through the MCP protocol, supporting operations such as account query and order placement. It needs to be used with MiniQMT.

Trade It MCP Server is a remote MCP service that allows users to conduct stock, cryptocurrency, and options trading on supported brokerage platforms through natural language instructions without local deployment.

The Groww MCP server is a comprehensive trading API service that provides order management, portfolio management, real - time market data retrieval, and technical analysis tools, supporting stock and futures options trading.

The Volume Wall Detector MCP Server is a stock trading analysis tool based on the Model Context Protocol, providing functions such as real-time trading volume analysis, price level detection, and trading imbalance tracking, and supporting access from multiple MCP clients.

A stock market data and trading tool based on the yfinance library, providing functions such as real-time quotes, company information, and historical data

A Model Context Protocol (MCP) service built on the Interactive Brokers Web API, deployed through Docker containerization, providing stock trading, account management, and market data query functions.

The Korea Investment & Securities REST API MCP service provides functions such as domestic and overseas stock trading, real - time market quote inquiry, and account management. It supports asynchronous processing and stable error handling.

A server based on the MCP protocol that provides AI assistants with the ability to access the Shioaji trading API in the Taiwan financial market, supporting operations such as stock price query, historical data acquisition, and stock scanning.

This is an MCP server designed for the Alpaca trading platform, allowing interaction with LLMs (such as Claude) through natural language to achieve functions such as stock trading, account management, and market data query.

The FindingAlpha AI MCP Server is a service that provides fundamental analysis and processing tools for publicly traded stocks, supporting functions such as revenue segmentation analysis and congressional trading queries.

The Alpaca MCP Server is a service that enables LLMs (such as Claude) to interact with the Alpaca trading API through natural language, supporting stock trading, position query, market data acquisition, and account management.

RagAlgo is an MCP server that provides mathematically scored financial context (South Korean stocks/cryptocurrencies) for AI agents. It focuses on using daily closing data to build a 'factual state' to prevent AI hallucinations caused by real - time market noise, aiming to build investment advisors rather than high - frequency trading robots.

An AI-based financial data service that provides real-time stock market data through the MCP protocol, supporting AI system integration of real-time prices, trading volumes, and other information.