TradingView MCP is a Model Context Protocol server that brings real-time market data, technical analysis, and backtesting capabilities to AI assistants like Claude, ChatGPT, and Cursor.
The tool solves the problem of giving AI assistants access to live financial market information and analytical tools without requiring them to browse the web or access external APIs directly. It works by running as an MCP server that fetches market data from public endpoints server-side and exposes a set of tools to the connected AI client. The server includes 37 technical analysis indicators, screeners for identifying top movers across exchanges, multi-timeframe trend analysis, backtesting functionality, and live sentiment data. A distinctive feature is its ability to render interactive candlestick charts with optional Bollinger Band overlays directly in the conversation, which the AI can then analyze and discuss.
Developers should choose this tool if they want to build AI applications that need real-time access to stocks, cryptocurrency, forex, and futures data across global exchanges without the complexity of integrating multiple APIs. It suits projects where an AI assistant needs to answer questions about market conditions, perform technical analysis, or help with trading strategy evaluation. The tool differs from other TradingView MCP implementations in that it does not automate or remote-control the TradingView Desktop application; instead it fetches data from public sources server-side, which means it requires no TradingView account, API key, or browser automation, and poses no risk to a user's TradingView session.
The project maintains an active development pace with regular feature additions, including recent work on chart rendering capabilities via MCP Apps. The codebase is written in Python and can be deployed either as a hosted service or self-hosted. Documentation includes working examples and clear setup instructions for multiple AI platforms.
