TradingView MCP Server

A community Model Context Protocol server that gives Claude Code (or any MCP client) TradingView-style market analysis: OHLCV candles, a suite of 19 technical indicators, a flexible technical screener, and a simple backtester.

Data is pulled from public Yahoo Finance endpoints — no API key, no account, no session cookies. Low blast radius: it only performs read-only fetches of public market data.

⚠️ Not affiliated with TradingView. Programmatic market-data collection can conflict with a provider's Terms of Use. This server avoids touching any TradingView account directly, but use it at your own discretion. Nothing here is financial advice.

Features

Indicators: SMA, EMA, WMA, HMA, RSI, ROC, momentum, MACD, Bollinger Bands, Stochastic, Williams %R, CCI, ATR, Keltner Channels, Donchian Channels, ADX, OBV, VWAP, MFI.

Tickers follow Yahoo conventions: stocks AAPL, crypto BTC-USD, forex EURUSD=X, indices ^GSPC.

Related MCP server: Stock Data MCP Server

Install

# 1. Install uv if you don't have it
curl -LsSf https://astral.sh/uv/install.sh | sh

# 2. Register the server with Claude Code (runs straight from this repo)
claude mcp add tradingview -- uvx --from /path/to/Trading-view-MCP tradingview-mcp

To make it available in every project (user scope) rather than just the current one:

claude mcp add -s user tradingview -- uvx --from /path/to/Trading-view-MCP tradingview-mcp

Once published to PyPI you'd instead use:

uv tool install tradingview-mcp-server
claude mcp add tradingview -- uvx --from tradingview-mcp-server tradingview-mcp

Verify

claude mcp list      # tradingview should show "connected"

Inside a session, /mcp lists the live tools. Then just ask in plain language, e.g. "screen AAPL, MSFT, NVDA for RSI under 35 on the daily" — Claude calls the tools itself.

📱 Mobile bias web app

A one-button mobile web app that runs the multi-timeframe bias (15m, 1h, 4h, daily, weekly) and prints Bullish / Bearish / Neutral for each, plus an overall verdict.

uv run --extra web uvicorn webapp.app:app --host 0.0.0.0 --port 8000

Then open http://<your-computer-ip>:8000 on your phone (same Wi-Fi), or http://localhost:8000 on the same machine. Type a ticker (defaults to GC=F, gold ≈ XAUUSD), tap Run Analysis, and you get a colour-coded board.

The same logic is exposed to Claude as the get_bias MCP tool, so you can also just ask "what's the bias on gold across timeframes?".

Caching

Results are cached two ways so repeated taps don't hammer Yahoo:

• Edge/CDN cache (in production): responses carry Cache-Control: s-maxage=60, stale-while-revalidate=300, so repeat requests within 60s are served from Vercel's edge without invoking the function.

• In-process TTL cache: a 60s thread-safe cache (warm instances + local dev

  • the MCP tool). Override the window with the BIAS_CACHE_TTL env var.

Each response includes a cached flag, and the page shows cached ⚡ vs live.

How the bias is scored

Each timeframe casts 7 votes (price vs EMA20/EMA50, EMA20 vs EMA50, MACD histogram, RSI, ADX direction, Stochastic). Score ≥ +2 → Bullish, ≤ −2 → Bearish, otherwise Neutral. It's a transparent tally, not a black box — and it is not financial advice.

Run it directly

uv run tradingview-mcp            # starts the stdio server

Tool examples

Screen for oversold names below their 200-day average:

{
  "symbols": ["AAPL", "MSFT", "NVDA", "TSLA"],
  "conditions": [
    {"indicator": "rsi", "params": {"length": 14}, "op": "<", "value": 35},
    {"indicator": "close", "op": "<",
     "value": {"indicator": "sma", "params": {"length": 200}}}
  ],
  "match": "all"
}

Detect a 20/50 EMA bullish crossover:

{
  "symbols": ["BTC-USD", "ETH-USD"],
  "conditions": [
    {"indicator": "ema", "params": {"length": 20}, "op": "crosses_above",
     "indicator2": "ema", "params2": {"length": 50}}
  ]
}

Multi-column indicators (macd, bollinger, stochastic, adx, keltner, donchian) take a column, e.g. {"indicator": "macd", "column": "histogram", "op": ">", "value": 0}.

Development

uv sync --extra dev
uv run pytest          # indicator + screener tests, no network needed

Architecture

src/tradingview_mcp/
  server.py       # FastMCP tool definitions (the MCP surface)
  data.py         # the only module that touches the network (yfinance)
  indicators.py   # pure pandas/numpy indicator engine (TA-Lib-free)
  screener.py     # screening + backtesting on top of the engine

License

MIT