Market data, technical analysis, screeners, sentiment, and backtesting for stocks, crypto, forex, and futures.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
We ran the install command below but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.
uvx tradingview-mcp-serverNo response to initialize.
This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 4d ago.
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Tradingview MCP.
The tradingview-mcp MCP server exposes market research and technical-analysis functions to MCP-compatible AI clients. Its scope includes stocks, cryptocurrencies, foreign exchange, and futures across global exchanges. The README describes 37 tools covering live market data, technical indicators, screeners, financial news, sentiment, multi-timeframe analysis, and backtesting.
Example workflows include finding the top crypto gainers on an exchange, analyzing a stock such as NVDA, reviewing gold across several timeframes, or testing an RSI-based strategy on BTC. The server is intended for informational and educational analysis. It does not place trades, manage money, or provide investment advice.
Requests are handled through server-side access to public market-data endpoints. The implementation does not sign in to TradingView, scrape a TradingView session, control a browser, or use a TradingView account. That makes the tradingview-mcp MCP server different from MCP projects that automate the TradingView Desktop application.
A hosted deployment is available through a connector URL and can keep responding without a local process running. The hosted version also supports MCP Apps charts: chart requests can render interactive candlestick views in the conversation, with selectable 1-day, 1-hour, or 15-minute intervals and an optional Bollinger Bands overlay. Self-hosting is available as an open-source option.
The project supports Python 3.10 through 3.13 and is published on PyPI under the package name tradingview-mcp-server. The README presents two deployment paths: connect an MCP client to the hosted service, or install and run the server locally. The hosted option is aimed at users who do not want to manage Python dependencies; self-hosting does not require a paid TradingView account or TradingView API key.
The hosted service is a paid option with a 3-day free trial and plans described as Pro and Pro+. The repository states that self-hosting remains free. Follow the project’s current installation and client-configuration instructions for the exact local launch command and connector URL settings.
The tradingview-mcp MCP server includes capabilities for:
Several frequently used operations were converted to asynchronous execution, and the project describes retry handling and short-lived caching for some TradingView screener requests. These implementation details may improve concurrent request handling but do not change the data-source limitations.
Market data comes from third-party public sources and may be delayed, incomplete, inaccurate, or unavailable. Users are responsible for complying with the terms that apply to those data sources. Results such as indicators, scores, signals, entries, stop losses, and targets are computed outputs rather than recommendations. The software does not guarantee trading results, and users remain responsible for their own financial and regulatory decisions.
The project is independent and is not affiliated with or endorsed by TradingView Inc. Its name refers to the data and analysis use case, not to an official TradingView product.
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