TradingView MCP for Claude, ChatGPT & Cursor
A managed MCP server by CryptoSieve that integrates 27 professional screening and technical analysis tools into AI assistants like Claude, ChatGPT, Cursor, and Copilot for seamless market insights.
Introduction
TradingView MCP for Claude, ChatGPT & Cursor is a managed MCP (Model Context Protocol) server by CryptoSieve, designed for seamless collaboration between traders and AI tools. It eliminates the hassle of setting up and maintaining your own server, allowing users to directly access 27 professional screening and technical analysis tools in Claude, ChatGPT, Cursor, or Copilot to quickly obtain market insights.
Key Features
The core capabilities of this tool cover the entire chain from basic screening to in-depth technical analysis. Users can use natural language commands to get real-time data on gainers, RSI overbought/oversold signals, MACD crossovers, and Bollinger Band breakouts. It also supports historical backtests to validate trading strategies. Notably, its built-in Multi-Agent Analysis feature parses market data in parallel from multiple dimensions, generating comprehensive research results that greatly improve decision-making efficiency.
Highlights
Compared to similar solutions, its biggest highlight is the "zero-ops" experience. As a managed service, users do not need to configure API keys, manage server resources, or handle version updates; simply use a connector to enable all features in major AI assistants. Additionally, the 27 indicators are optimized for cryptocurrency markets, with fast data response and support for custom parameters to flexibly adapt to different trading strategies. For users in programming environments like Cursor, it integrates real-time market data directly into code debugging and quantitative strategy development, achieving true "data + code" integration.
Who It's For
This tool is ideal for three types of users: short-term traders who rely on ChatGPT or Claude for quick market overviews and signal confirmations; developers building quantitative strategies in Cursor who need fast access to historical data for backtesting; and quantitative researchers looking to integrate market analysis into automated workflows. Whether you are a beginner or an experienced professional, you can transform AI into a powerful personal trading analysis team through natural language interaction.
