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from $5.00 / 1,000 light data reads

Tradingview Mcp

Real-time TradingView market data via MCP. Screen stocks & crypto, technical analysis (RSI, MACD, BB, Ichimoku), Fibonacci levels, S/R zones, pivot points, VWAP, volume profile, earnings & IPO calendars, correlation. No API key needed.

Pricing

from $5.00 / 1,000 light data reads

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Brian johnson

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TradingView MCP Server

A Model Context Protocol server that exposes 41 TradingView market-data tools to Claude and other AI agents — no rate limiting, no API key required.

Project structure

tradingview-mcp/
├── mcp_server.py                      # MCP server — 41 tools
├── tradingview_historical_fetcher.py  # Historical OHLCV helper
├── requirements.txt
└── README.md

Quick start

pip install -r requirements.txt
python mcp_server.py

Add it to your Claude Code config (.mcp.json):

{
  "tradingview": {
    "type": "stdio",
    "command": "python",
    "args": ["/path/to/mcp_server.py"]
  }
}

Environment variables

Create a .env file for optional features:

# Required only for get_watchlist_tickers
# Copy from browser cookies while logged into tradingview.com
TV_SESSION_ID=your_sessionid_cookie
TV_SESSION_SIGN=your_sessionid_sign_cookie

Available tools (41)

Screening & prices

Tool	Description
`screen_stocks`	Bulk screener — filter by exchange, sector, price, market cap
`get_price`	Current price for a single ticker
`get_multiple_prices`	Prices for up to 100 tickers in one call
`top_gainers` / `top_losers`	Biggest movers for the day
`rating_filter`	Screen by TV recommendation (Buy/Sell/Neutral)
`search_symbol`	Search for a ticker by name or keyword
`get_symbol_info`	Company description, sector, country, exchange

Technical indicators

Tool	Description
`get_technical_analysis`	Full TA summary (RSI, MACD, MAs, oscillators, signal)
`coin_analysis`	Same as above, optimised for crypto
`get_bollinger_bands`	BB upper/middle/lower, width, %B, squeeze flag
`get_macd`	MACD line, signal, histogram
`get_moving_averages`	SMA/EMA across 5, 10, 20, 50, 100, 200 periods
`get_stochastic`	%K, %D, crossover signal
`get_adx`	ADX, +DI, -DI, trend strength
`get_ichimoku_cloud`	Tenkan, Kijun, Senkou A/B, Chikou
`get_atr`	Average True Range
`get_vwap`	Volume-Weighted Average Price

Chart patterns & structure

Tool	Description
`get_fibonacci_retracement`	Fib levels from swing high/low
`get_support_resistance`	Key S/R levels via pivot clustering
`get_pivot_points`	Classic, Camarilla, Woodie pivots
`get_volume_profile`	Volume by price bucket (POC, VAH, VAL)
`detect_unfilled_gaps`	Open price gaps on the chart
`consecutive_candles_scan`	Scan for N consecutive bullish/bearish candles
`advanced_candle_pattern`	Doji, engulfing, hammer, shooting star, etc.
`bollinger_scan`	Screen stocks near BB extremes

Historical data & correlation

Tool	Description
`get_historical_ohlcv`	OHLCV candles (1m → 1M)
`calculate_correlation`	Pearson correlation between two symbols
`list_available_pairs`	Browse forex pairs by base/quote currency

Options & volatility

Tool	Description
`get_iv_smile`	Implied-volatility smile by strike or delta for a specific expiry
`get_iv_term_structure`	IV at standard tenors (1w/2w/1m/2m/3m/6m/9m/1y) and real expiries

Watchlists

Tool	Description
`get_watchlist_data`	Performance, volatility, RSI, rating for an explicit ticker list
`get_watchlist_tickers`	Fetch tickers from a TradingView watchlist by its numeric ID

Calendars & bonds

Tool	Description
`get_earnings_calendar`	Upcoming earnings dates and EPS estimates
`get_ipo_calendar`	Scheduled IPOs
`get_bond_info`	Corporate bonds related to a stock (yield, maturity)

News

Tool	Description
`get_symbol_news`	Latest news articles for a ticker with cursor pagination

Backtesting

Tool	Description
`backtest_indicator`	Run a single strategy on a symbol and get P&L metrics
`backtest_optimize`	Grid-search indicator parameters for best return
`backtest_compare`	Compare strategies across multiple symbols

Portfolio

Tool	Description
`get_portfolio_stocks`	Read a local SQLite portfolio database

Tech stack

Python 3.9+, FastMCP
TradingView public APIs (scanner, options-charting, news-mediator)
Pandas, NumPy (backtesting engine)

Disclaimer

For educational and informational purposes only. Not financial advice.

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