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Tradingview MCP

Real-time market data, technical analysis, screeners, and backtesting for stocks, crypto, forex, and futures.

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Install Tradingview MCP

Pick your client, then add it in one click or paste the config.

STDIOPython
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "tradingview-mcp": {
      "command": "uvx",
      "args": [
        "tradingview-mcp-server"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Install not yet sandbox-tested— we haven't run this command through our automated sandbox yet. Not a red flag; we're working through the catalog.

Overview

tradingview-mcp MCP server provides market data and analysis tools for stocks, crypto, forex, and futures across global exchanges. Its 39 tools cover technical indicators, market screeners, multi-timeframe analysis, sentiment, Yahoo Finance data, and strategy backtesting, using public data endpoints without a TradingView account or API key. Reach for it when an AI assistant needs headless market research rather than control of the TradingView desktop application. The hosted TradingMCP deployment also supports interactive in-conversation candlestick charts with optional Bollinger Bands.

Use cases

  • Screen top crypto gainers on a selected exchange
  • Analyze a stock with technical indicators
  • Compare an asset across multiple timeframes
  • Backtest an RSI strategy on historical market data

Key features

  • 39 market data and analysis tools
  • Technical indicators and multi-timeframe analysis
  • Multi-exchange screeners
  • Strategy backtesting
  • Yahoo Finance and sentiment data
  • Optional hosted interactive charts with Bollinger Bands

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

51/52 checks healthy over the last 92d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8d ago via OSV.dev · tradingview-mcp-server (PyPI)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars5.3kStargazers on the source repository.
Last commit3d agoMost recent push to the default branch.
Directory activity6 viewsConfig copies, upvotes, and views on AllMCPs.

How Tradingview MCP works

What tradingview-mcp does

tradingview-mcp exposes financial market research and analysis through the Model Context Protocol. It covers stocks, cryptocurrencies, forex, and futures across global exchanges, with tools for live market data, technical indicators, screeners, sentiment, and backtesting. Example requests include finding the top crypto gainers on Binance, analyzing NVDA, reviewing gold across multiple timeframes, or testing an RSI strategy on BTC daily data.

The project is intended for informational and educational analysis. It does not place trades, manage money, or provide investment, legal, tax, or accounting advice. Signals, scores, trade setups, entries, stop losses, and targets are computed from third-party data and should not be treated as recommendations.

How it works

Market data is fetched server-side from public endpoints. The server does not log into, scrape, or automate a TradingView account, and it does not require TradingView credentials or an API key. This makes it different from MCP projects that operate the TradingView Desktop interface through browser or desktop automation.

The self-hosted server can be connected to an MCP-compatible AI application. A hosted deployment, TradingMCP, is also available at https://mcp.tradingmcp.ai/mcp; users connect through a private link or supported connector and sign in to the hosted service. The hosted version can render interactive candlestick charts inside the conversation, including 1-day, 1-hour, and 15-minute views with an optional Bollinger Bands overlay.

Setup and configuration

Self-hosting is available through Python package installation, including pip install. The project is also presented as usable without local setup through the hosted TradingMCP service. For the hosted connection, the MCP endpoint is:

text
https://mcp.tradingmcp.ai/mcp

The hosted service supports connections from Claude, Cursor, Grok, ChatGPT, Copilot, and other MCP clients according to their connector capabilities. No TradingView account or TradingView API key is needed. Hosted access is a separate paid service, while self-hosting remains free.

Tools and capabilities

The server provides 39 tools spanning:

  • Real-time market data for supported asset classes and exchanges
  • Technical indicators and full technical analysis
  • Multi-timeframe market analysis
  • Market and asset screeners, including ranked-gainer queries
  • Sentiment data
  • Yahoo Finance data
  • Backtesting for trading strategies
  • Hosted interactive candlestick charts with optional Bollinger Bands

The exact response depends on the selected market, exchange, timeframe, and analysis request. The project can be used from Claude, ChatGPT, Cursor, Copilot, Claude Code, or another MCP client.

Limitations and notes

Data comes from third-party public endpoints and may be delayed, inaccurate, incomplete, or unavailable. Users are responsible for complying with the terms governing any data source they use. The project is independent and is not affiliated with, endorsed by, or associated with TradingView Inc.; “TradingView” is a trademark of its respective owner.

Charts rendered inside conversations are a capability of the hosted TradingMCP deployment. The server is for analysis and research only: it does not execute orders or guarantee financial outcomes. Trading and investing involve substantial risk, so decisions require independent research and appropriate professional advice.

Read the full README View source on GitHub

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Frequently Asked Questions about Tradingview MCP

tradingview-mcp is an MCP server that connects AI assistants to public market-data endpoints for stocks, crypto, forex, and futures. Its main tools provide real-time data, technical indicators, screeners, sentiment, Yahoo Finance data, multi-timeframe analysis, and strategy backtesting without requiring a TradingView account or API key.

Install the self-hosted server through Python package installation with pip. The project also offers a hosted MCP endpoint at https://mcp.tradingmcp.ai/mcp, which avoids local installation and requires signing in to the hosted service instead of configuring a TradingView key.

No, tradingview-mcp does not require a TradingView account or API key. It retrieves market data server-side from public endpoints and does not log into, scrape, or automate a TradingView session.

Yes, tradingview-mcp works with Cursor. The hosted TradingMCP deployment can be added using its MCP endpoint, and the self-hosted server can be connected through Cursor's MCP support.

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