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Tradingview MCP

A Python MCP server that exposes market data and trading-analysis capabilities to AI assistants and other MCP clients. The documented functions include technical indicators, screeners, sentiment, charting, Yahoo Finance integration and backtesting.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Tradingview MCP — OpenViST project profile in MCP & Tooling.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an AI client needs headless market data and analysis tools rather than control of a logged-in TradingView desktop session.

Who it is for

  • Developers connecting market-analysis tools to MCP-compatible AI clients.
  • Researchers and traders who want conversational access to market data and technical analysis.
  • Users building AI assistants for screening, charting, sentiment analysis or strategy evaluation.

Documented uses

  • Query stocks, crypto, forex and futures market data.
  • Calculate and explain technical indicators.
  • Screen instruments across supported exchanges.
  • Evaluate trading strategies with backtesting.
  • Request conversational charts and sentiment analysis.
Before you choose

Requirements & limits

The project documents both hosted and self-hosted use. The hosted option is listed from $9 per month, with a 3-day free trial; self-hosting is described as free. The documentation says no TradingView account or API key is required. The repository is public and MIT-licensed.

  • Choose hosted use to avoid managing the Python environment and server.
  • Choose self-hosting when running the MCP server directly is preferable; the documented runtime is Python 3.10–3.13.
  • It supports market-data and analysis workflows, not TradingView desktop automation.
  • The documented toolset includes 37 technical-analysis tools, plus screeners and backtesting.
  • Outputs depend on third-party market data and are not trading recommendations.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Connect the hosted MCP server to an AI client

Use the hosted connector to access the documented market-analysis tools without setting up the Python server.

Before you start

  • A compatible MCP client such as Claude.ai, ChatGPT, Copilot or Cursor.
  • The hosted connector URL documented by the project.

Steps

  1. Use the hosted server connector URL with a supported MCP client.

  2. Ask for a documented task such as top crypto gainers, technical analysis, multi-timeframe analysis or an RSI backtest.

  3. Review the returned market data or analysis in the conversation.

Expected outcome

The AI client can use the hosted server’s documented market-data, analysis, screening and backtesting tools.

Guide limitations

  • The project states that outputs are informational and not financial advice.
  • Market data may be delayed, inaccurate or incomplete.
  • This recipe does not cover self-hosting or client-specific connection screens.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
1 October 2026
Original website title
atilaahmettaner/tradingview-mcp · Official homepage title · retained in its source language
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