MCP SERVERScan a whole exchange for setups, read one symbol across timeframes, and test the strategy on history before you trade it.
LABSCO SUMMARY
What it takes off you is the chart-by-chart pass. One call ranks a market by the pattern you care about, the next reads the symbol that came out on top across five timeframes, and a third asks whether that strategy would have made money on history with commission and slippage counted in.
A technical-analysis server over TradingView screener data, with Yahoo Finance quotes and Marketaux news sentiment and headlines alongside it. Thirty-seven tools come in three shapes: scan a market, read one symbol, or test a strategy on past data.
coin_analysis), plus exchange-wide scans for Bollinger squeezes and for assets at a Bollinger rating from strong sell to strong buy (bollinger_scan, rating_filter)multi_timeframe_analysis), scans for runs of growing or shrinking candles and for candle patterns across timeframes (consecutive_candles_scan, advanced_candle_pattern), and volume-plus-price breakout scanners (volume_breakout_scanner, smart_volume_scanner)backtest_strategy, compare_strategies, walk_forward_backtest_strategy)yahoo_price, market_snapshot)EXCHANGE:SYMBOL tickers that names the ones it could not resolve (stock_screener, stock_prices)market_sentiment, financial_news, combined_analysis)egx_market_overview, egx_stock_screener, egx_fibonacci_retracement, egx_trade_plan)pip install tradingview-mcp-server and Python, or connect to the remote endpoint at https://mcp.cryptosieve.com/mcp. Every call goes out to TradingView, Yahoo Finance or a news source at the moment you make it, so it needs network access. News and sentiment want a free Marketaux key; without one the rest still works. Symbols follow each source's own convention — NASDAQ:NVDA or BTCUSDT on the screener calls, BTC-USD, ^GSPC or EURUSD=X on the Yahoo ones. Three of the nine strategies apply an SMA200 trend filter and need period='1y' or '2y' so the filter has enough history to warm up.
One command — pip install tradingview-mcp-server
USE CASES
Scan by the signal you care about — oversold, trending, breakout — or screen with the filters that match how you trade. One call replaces flipping through charts.
Read the full indicator set, check whether the weekly, daily, four-hour, hourly and fifteen-minute views agree, and look for a candlestick pattern at the level. Disagreement across timeframes is usually the answer.
Backtest it with commission and slippage, compare all nine against each other on the same symbol, then run the walk-forward split. The overfitting verdict is the part that matters — a strategy that only works on the data it was chosen against is not a strategy.
Fold sentiment and live headlines into the technical read in one call. A clean breakout the day an earnings story lands is a different trade from the same chart on a quiet day.
Pull the global snapshot — indices, VIX, the major crypto pairs, EUR/USD and the big ETFs — before deciding whether the setup you found is really about that symbol.
EGX gets its own tools rather than a generic screener: market overview, a ranking screener, Fibonacci levels and a per-stock trade plan. Coverage that most data tools simply do not have.
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
advanced_candle_patternAdvanced candle pattern analysis using multi-timeframe data.
Args: exchange: Exchange name (BINANCE, KUCOIN, etc.) base_timeframe: Base timeframe for analysis (5m, 15m, 1h, 4h) pattern_length: Number of consecutive periods to analyse (2-4) min_size_increase: Minimum percentage increase in candle size limit: Maximum number of results to return
backtest_strategyBacktest a trading strategy on historical data with institutional-grade metrics.
Args: symbol: Yahoo Finance symbol (AAPL, BTC-USD, THYAO.IS, ^GSPC) strategy: rsi | bollinger | macd | ema_cross | supertrend | donchian | rsi_pullback | keltner_breakout | triple_ema (rsi_pullback and triple_ema need period >= '1y' for SMA200 warmup) period: '1mo', '3mo', '6mo', '1y', '2y' initial_capital: Starting capital in USD (default $10,000) commission_pct: Per-trade commission % (default 0.1%) slippage_pct: Per-trade slippage % (default 0.05%) interval: '1d' (daily) or '1h' (hourly) include_trade_log: Include full per-trade log (default False) include_equity_curve: Include equity curve data points (default False)
bitcoin_market_pulseSingle-call BTC macro context: price, dominance, total market cap + risk assessment.
Use this WHENEVER analyzing any cryptocurrency (altcoin or BTC itself) to get the broader market frame in one shot. A SOL/ETH/whatever setup looks very different when BTC is dumping with rising dominance vs. when alts are leading. Calling this once gives Claude the macro context to provide Bitcoin-aware commentary alongside the per-coin analysis - without chaining 2-3 separate yahoo_price + manual reasoning calls.
Returns:
bollinger_scanScan for assets with low Bollinger Band Width (squeeze detection). Works with crypto and stocks.
This scans a whole EXCHANGE for squeezes (canonical name is exactly bollinger_scan; there is no "get_bollinger_band_analysis" tool). For the Bollinger read of ONE symbol, call coin_analysis instead.
Example: bollinger_scan(exchange="BINANCE", timeframe="15m", bbw_threshold=0.008)
Args: exchange: Exchange — crypto: KUCOIN, BINANCE, BYBIT, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, BURSA, HKEX, SSE, SZSE, TWSE, TPEX timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M. Typical squeeze thresholds: 15m→0.008, 1h→0.02, 4h→0.04, 1D→0.12 bbw_threshold: Maximum BBW value to filter (default 0.04) limit: Number of rows to return (max 100)
Returns `list[dict] on success. On ANY failure returns a structured error envelope {"error": {"code": ..., "retryable": ...}}`.
coin_analysisGet detailed analysis for a specific asset (coin or stock) on specified exchange and timeframe.
This is the canonical single-symbol technical readout (there is no "get_technical_analysis" or "get_technical_summary" tool — use THIS one). Use multi_timeframe_analysis instead when you need trend alignment across several timeframes, and combined_analysis when you also want news sentiment + headlines in the same call.
Example: coin_analysis(symbol="BTCUSDT", exchange="BINANCE", timeframe="1h")
Args: symbol: Bare ticker, no exchange prefix — crypto: "BTCUSDT", "ETHUSDT"; stocks: "COMI" (EGX), "THYAO" (BIST), "600519" (SSE), "300251" (SZSE), "2330" (TWSE), "3105" (TPEX) exchange: Exchange — crypto: KUCOIN, BINANCE, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, BURSA, HKEX, SSE, SZSE, TWSE, TPEX. If the symbol isn't listed there, the error's listed_on field names exchanges that do list it. timeframe: Time interval (5m, 15m, 1h, 4h, 1D, 1W, 1M)
Returns: Detailed analysis with all indicators and metrics
combined_analysisPOWER TOOL: TradingView technical analysis + news sentiment + financial news.
Use this when you want TA AND sentiment AND news for one symbol in a single call. For indicators only, coin_analysis is faster; for cross-timeframe trend alignment use multi_timeframe_analysis.
Example: combined_analysis(symbol="NVDA", exchange="NASDAQ", timeframe="1D")
Args: symbol: Bare ticker, no exchange prefix ("AAPL", "BTCUSDT", "THYAO", "GDX") exchange: Exchange (NASDAQ, NYSE, AMEX, NYSEARCA, PCX, BINANCE, KUCOIN, MEXC, BIST, EGX, TWSE, TPEX) timeframe: Analysis timeframe (5m, 15m, 1h, 4h, 1D, 1W)
compare_strategiesRun all 9 strategies (RSI, Bollinger, MACD, EMA Cross, Supertrend, Donchian, RSI Pullback, Keltner Breakout, Triple EMA) and return a ranked leaderboard.
Args: symbol: Yahoo Finance symbol (AAPL, BTC-USD, SPY…) period: '1mo', '3mo', '6mo', '1y', '2y' (period >= '1y' recommended so rsi_pullback and triple_ema can complete SMA200 warmup; otherwise they contribute zero trades) initial_capital: Starting capital in USD (default $10,000) interval: '1d' (daily) or '1h' (hourly)
consecutive_candles_scanScan for coins with consecutive growing/shrinking candles pattern.
Args: exchange: Exchange name (BINANCE, KUCOIN, etc.) timeframe: Time interval (5m, 15m, 1h, 4h) pattern_type: "bullish" (growing candles) or "bearish" (shrinking candles) candle_count: Number of consecutive candles to check (2-5) min_growth: Minimum growth percentage for each candle limit: Maximum number of results to return
egx_fibonacci_retracementFibonacci retracement analysis for EGX stocks.
Args: symbol: EGX stock symbol (e.g., "COMI", "TMGH", "FWRY") lookback: Period for swing high/low — "1M", "3M", "6M", "52W", "ALL" (default 52W) timeframe: Analysis timeframe (5m, 15m, 1h, 4h, 1D, 1W, 1M — default 1D)
egx_index_analysisAnalyse an EGX index showing constituent performance with full indicators.
Args: index: EGX30, EGX70, EGX100, SHARIAH33, EGX35LV, TAMAYUZ timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D) limit: Number of stocks to show in detail (max 100)
egx_market_overviewGet a comprehensive overview of the Egyptian Exchange (EGX) market.
Args: timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D for stocks) limit: Number of stocks per category (max 20)
egx_sector_scanScan EGX stocks by sector. Shows available sectors if none specified.
Args: sector: Sector name (banks, healthcare_and_pharma, real_estate, etc.) Leave empty to list all sectors. timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M limit: Max results per sector (max 50)
egx_sector_scannerSector rotation scanner for EGX — identifies hot/cold sectors and top picks.
Args: timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D) top_n_sectors: Number of top sectors to show stock picks for (1-18, default 5) top_n_stocks: Number of top stocks per highlighted sector (1-10, default 3) min_stock_score: Minimum stock score for picks (0-100, default 60)
egx_stock_screenerProduction stock ranking engine for EGX — finds strong stocks with actionable setups.
Args: timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D) min_score: Minimum stock score to include (0-100, default 55) index_filter: Filter by index — EGX30, EGX70, EGX100, SHARIAH33, EGX35LV, TAMAYUZ limit: Number of results (max 50)
egx_trade_planGenerate a full trade plan for a specific EGX stock.
Args: symbol: EGX stock symbol (e.g., "COMI", "TMGH", "FWRY") timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M (default 1D)
financial_newsReal-time financial news via Marketaux (licensed).
Args: symbol: Optional symbol filter ("AAPL", "BTC"). None = all news. category: News category ("crypto", "stocks", "all") limit: Max number of news items
futures_category_snapshotQuote all major front-month contracts in a specific futures category.
Args: category: equity_index | energy | metals | agriculture | rates | forex | crypto_futures
Returns: OHLCV quotes for the standard watchlist of contracts in that category. Example symbols: ES1! NQ1! (equity_index), CL1! NG1! (energy), GC1! SI1! (metals).
futures_market_overviewTop futures contracts sorted by trading volume.
Args: category: all | equity_index | energy | metals | agriculture | rates | forex | crypto_futures exchanges: us (CME, COMEX, NYMEX, CBOT) | global (adds ICE, EUREX) limit: max contracts to return (default 30) volume_min: minimum volume filter (0 = no filter)
Returns: Dict with total_available count and list of contracts with OHLCV + % change.
futures_top_moversFutures contracts with the biggest percentage moves today.
Args: direction: gainers | losers exchanges: us | global limit: max results volume_min: minimum volume filter (default 10, filters illiquid contracts)
Returns: List of futures ranked by % change with OHLCV data.
futures_watchlistReturn the full categorized list of well-known front-month futures symbols.
Categories: equity_index, energy, metals, agriculture, rates, forex, crypto_futures. Use these symbols with futures_category_snapshot or coin_analysis for deeper analysis.
market_sentimentNews sentiment for stocks and crypto (licensed Marketaux entity sentiment).
Args: symbol: Asset symbol ("AAPL", "BTC", "ETH", "TSLA") category: News group to search ("crypto", "stocks", "all") limit: Max articles to analyse
market_snapshotGlobal market overview: major indices, top crypto, FX rates, and key ETFs. Powered by Yahoo Finance.
multi_agent_analysisRun a multi-agent debate (Technical, Sentiment, Risk) for a specific symbol.
Args: symbol: Symbol — crypto: "BTCUSDT"; stocks: "COMI" (EGX), "THYAO" (BIST), "600519" (SSE), "300251" (SZSE), "2330" (TWSE), "3105" (TPEX), "GDX" (AMEX) exchange: Exchange — crypto: KUCOIN, BINANCE, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, AMEX, NYSEARCA, PCX, SSE, SZSE, TWSE, TPEX timeframe: Time interval (5m, 15m, 1h, 4h, 1D, 1W)
Returns: A structured debate between 3 AI agents culminating in a final trading decision.
multi_timeframe_analysisMulti-timeframe alignment analysis (Weekly → Daily → 4H → 1H → 15m).
Canonical name is exactly multi_timeframe_analysis (there is no "get_multi_timeframe_analysis" tool). Use this for cross-timeframe trend alignment on ONE symbol; for a single-timeframe deep dive use coin_analysis; for TA + sentiment + news use combined_analysis.
Example: multi_timeframe_analysis(symbol="SOLUSDT", exchange="BINANCE")
Args: symbol: Bare ticker, no exchange prefix — crypto: "BTCUSDT"; stocks: "COMI" (EGX), "THYAO" (BIST), "600519" (SSE), "300251" (SZSE), "2330" (TWSE), "3105" (TPEX), "GDX" (AMEX) exchange: Exchange — crypto: KUCOIN, BINANCE, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, AMEX, NYSEARCA, PCX, SSE, SZSE, TWSE, TPEX
rating_filterFilter coins by Bollinger Band rating.
Args: exchange: Exchange name like KUCOIN, BINANCE, BYBIT, MEXC, etc. timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M rating: BB rating (-3 to +3): -3=Strong Sell, -2=Sell, -1=Weak Sell, 1=Weak Buy, 2=Buy, 3=Strong Buy limit: Number of rows to return (max 50)
Returns `list[dict] on success. On ANY failure returns a structured error envelope {"error": {"code": ..., "retryable": ...}}`.
smart_volume_scannerSmart volume + technical analysis combination scanner.
Args: exchange: Exchange name min_volume_ratio: Minimum volume multiplier (default 2.0) min_price_change: Minimum price change percentage (default 2.0) rsi_range: "oversold" (<30), "overbought" (>70), "neutral" (30-70), "any" limit: Number of results (max 30)
Returns `list[dict] on success. On ANY failure returns a structured error envelope {"error": {"code": ..., "retryable": ...}}`.
stock_extended_hoursReal-time pre-market and after-hours prices for a US stock symbol.
Use this when the user asks about a stock outside the regular 9:30am-4pm ET session — earnings reactions, overnight news, "what is X doing in after-hours?", "how did Y open in pre-market?". Returns the most recent valid print from each session window (pre-market, regular, post-market) along with computed % changes vs. the previous close and the regular close, respectively.
During the regular session, post_market will be null (no data yet). On weekends/holidays, returns whatever's most recent in each window.
Args: symbol: US stock symbol — AAPL, NVDA, TSLA, SPY, ^GSPC, etc.
Returns:
stock_options_chainFull options chain (calls + puts) for a US stock symbol and one expiry.
Use this when the user asks "what's the options chain for X?", "show me AAPL puts expiring next Friday", or wants to inspect bid/ask/IV/volume on a specific strike. If no expiry is provided, returns the nearest expiry so Claude can quote it back and ask "want a different one?".
Args: symbol: US stock symbol — AAPL, NVDA, TSLA, SPY, etc. expiry: Optional ISO date (YYYY-MM-DD). Must match one of the available_expiries Yahoo returns; otherwise returns an error with the list of valid dates.
Returns:
stock_options_unusual_activityTop strikes by volume / open-interest ratio — institutional positioning signal.
Use this when the user asks "any unusual options activity on X?", "where is the smart money positioned on NVDA before earnings?", or wants a V/OI screener for a ticker. A V/OI ratio > 1 means today's volume already exceeds standing open interest, which classically flags fresh institutional positioning on a specific strike in a specific direction (call vs put).
Scans the soonest few expirations, filters out illiquid strikes (under min_volume), and returns the top-N sorted by V/OI descending. Also returns aggregate call vs put volume so Claude can comment on the overall directional bias.
Args: symbol: US stock symbol — AAPL, NVDA, TSLA, SPY, META, etc. top_n: How many strikes to return. Default 10. min_volume: Filter floor for today's volume — prevents noise from illiquid strikes with high V/OI ratios. Default 100. expiries: Number of soonest expirations to scan. Default 4 (typically covers ~1 month of weeklies + monthlies).
Returns:
stock_pricesCurrent price + daily % change for specific stock symbols.
Args: tickers: comma-separated EXCHANGE:SYMBOL list (max 2000 — one upstream request even at full size), e.g. "NASDAQ:NVDA, NASDAQ:TSLA, KRX:005930". The exchange prefix is required — the scanner's direct-ticker lookup is exchange-scoped.
Returns: Envelope dict: rows of {ticker, symbol, description, exchange, price, open, high, low, currency, change_percent} plus a not_found list naming any requested ticker the scanner didn't recognize.
stock_screenerScreen stocks by share type — the API twin of TradingView's "Common stock" / "Preferred stock" symbol-search filter.
Args: country: TradingView market name — e.g. america, korea, germany, brazil, japan, uk, india, turkey, canada, australia, france, hongkong stock_type: common | preferred limit: rows to return (max 2000, single upstream request), ranked by market cap descending exclude_otc: default True — drop OTC listings (foreign companies traded over-the-counter); "america" otherwise means "US venue", not "US company" compact: default False — True returns only ticker/symbol/price/currency/ change_percent per row (light payload for bulk price feeds) sort_by: market_cap (default) | dividend_yield | change | price — server-side descending sort over the WHOLE market, so e.g. sort_by=dividend_yield with limit=20 is the market's true top-20 dividend payers, not just the biggest companies re-sorted
Returns: Envelope dict: total_matches (market-wide count), returned, and rows of {ticker, symbol, description, exchange, price, open, high, low, currency, change_percent, dividend_yield, market_cap} — price is the current/last close; open/high/low are the current session's daily bar. Prices are in the market's local currency (e.g. KRW for korea).
top_gainersReturn top gainers for an exchange and timeframe using Bollinger Band analysis.
Args: exchange: Exchange name — crypto: KUCOIN, BINANCE, BYBIT, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, BURSA, HKEX, SSE, SZSE, TWSE, TPEX timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M limit: Number of rows to return (max 50)
Returns: list[dict] on success. On ANY failure returns a structured error envelope `{"error": {"code": ..., "retryable": ...}}` — never a raw exception string.
top_losersReturn top losers for an exchange and timeframe. Supports crypto (KUCOIN, BINANCE, MEXC) and stocks (EGX, BIST, NASDAQ).
Returns `list[dict] on success. On ANY failure returns a structured error envelope {"error": {"code": ..., "retryable": ...}}`.
volume_breakout_scannerDetect coins with volume breakout + price breakout.
Args: exchange: Exchange name like KUCOIN, BINANCE, BYBIT, MEXC, etc. timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M volume_multiplier: How many times the volume should be above normal level (default 2.0) price_change_min: Minimum price change percentage (default 3.0) limit: Number of rows to return (max 50)
Returns `list[dict] on success, or an error envelope on total upstream failure ({"error": {"code": "ALL_BATCHES_FAILED", ...}}`). The empty list now strictly means "no matches today"; rate-limit cliffs surface explicitly.
volume_confirmation_analysisDetailed volume confirmation analysis for a specific coin.
Args: symbol: Coin symbol (e.g., BTCUSDT) exchange: Exchange name timeframe: Time frame for analysis
walk_forward_backtest_strategyWalk-forward backtest to detect overfitting — validates strategy on unseen data.
Args: symbol: Yahoo Finance symbol (AAPL, BTC-USD, SPY…) strategy: rsi | bollinger | macd | ema_cross | supertrend | donchian | keltner_breakout (rsi_pullback and triple_ema not supported here — SMA200 warmup exceeds typical fold size; use run_backtest with period='2y') period: '1mo', '3mo', '6mo', '1y', '2y' (recommend '2y') initial_capital: Starting capital per fold in USD (default $10,000) commission_pct: Per-trade commission % (default 0.1%) slippage_pct: Per-trade slippage % (default 0.05%) n_splits: Number of walk-forward folds (default 3, max 10) train_ratio: Fraction of each fold used for training (default 0.7) interval: '1d' (daily) or '1h' (hourly)
yahoo_priceReal-time price quote from Yahoo Finance for any stock, crypto, ETF or index.
Args: symbol: Yahoo Finance symbol — e.g. AAPL, BTC-USD, SPY, ^GSPC, EURUSD=X, THYAO.IS
BEFORE YOU INSTALL
37 tools when we connected. The documentation's Technical Analysis Core table lists eight names the server no longer exposes, such as get_technical_analysis and get_candlestick_patterns. The live names include multi_timeframe_analysis and advanced_candle_pattern.
uvx on PATH
The documented client runs the server on your machine.
CONTEXT COST
Rated by the size of the 37 tool definitions that ride along on every turn, not by how many there are
INSTALLATION
pip install tradingview-mcp-serverhttps://mcp.cryptosieve.com/mcpAdd this hosted endpoint to your MCP client.
{
"mcpServers": {
"tradingview": {
"command": "/Users/<YOUR_USERNAME>/.local/bin/uvx",
"args": [
"--from",
"tradingview-mcp-server",
"tradingview-mcp"
]
}
}
}<YOUR_USERNAME> is your macOS user name. The full path is there because Claude Desktop may not have ~/.local/bin on its PATH. On Linux use /home/<YOUR_USERNAME>/.local/bin/uvx; on Windows, %USERPROFILE%\.local\bin\uvx.exe.
MCP servers
ravikant1918
zhangxiangliang
saidsurucu
twolven