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Tradingview Mcp

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himself65
tradingview-mcp

Query TradingView market data through the bundled tradingview MCP server without a desktop app or login. Use whenever the user wants a technical analysis readout (RSI, MACD, Bollinger rating, BUY/SELL summary), multi-timeframe alignment (weekly→daily→4h→1h→15m), exchange-wide scans (Bollinger squeeze, volume breakout, consecutive candles, smart volume), top gainers/losers by exchange, futures market data (NQ/ES/CL/GC overview, overnight movers, category snapshots), pre-market / after-hours quotes, a quick options chain or unusual options activity (volume/OI by strike), bulk stock prices, a global market snapshot, strategy backtests (Sharpe, drawdown, win rate), or crypto exchange scans. Triggers include "TA on X", "multi-timeframe read", "BB squeeze scan", "futures movers", "NQ overnight", "pre-market price", "unusual options activity", "backtest RSI on AAPL", and "top gainers on NASDAQ". For options greeks, watchlists, alerts, or chart screenshots use tradingview-reader instead.

Overview

Publisherhimself65
Repositoryfinance-skills
Skill nametradingview-mcp
Stars
3.3K
Forks
378
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by himself65 on GitHub. Read the source before you install it.

Installation

Install the Tradingview Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/himself65/finance-skills.git /tmp/finance-skills
mkdir -p .claude/skills
cp -r /tmp/finance-skills/plugins/data-providers/skills/tradingview-mcp .claude/skills/tradingview-mcp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tradingview Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tradingview Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tradingview Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TradingView MCP (Headless Market Data)

Market data via the bundled tradingview MCP server — TradingView's public scanner API plus Yahoo Finance, spoken over MCP. No TradingView desktop app or account. Most tools need no API key. The server ships with this plugin (.mcp.json) and starts automatically; its 37 tools appear under the plugin's tradingview MCP namespace (load them through the client's deferred-tool mechanism when necessary).

Read-only. Nothing here places trades or mutates any account.

When to use this vs the other data skills

NeedSkill
Quotes, TA readout, indicator ratings, multi-timeframe alignmentthis skill
Exchange-wide scans: squeeze / volume breakout / gainers / losersthis skill
Futures (NQ, ES, CL, GC…) overview, movers, category quotesthis skill
Pre-market / after-hours pricethis skill
Options chain quick look (bid/ask/IV/OI, no greeks), unusual activitythis skill (fallback / positioning scan)
Options chain with greeks (delta/gamma/theta/vega), IV skew, expiries with contract countstradingview-reader (desktop app)
Watchlists, alerts, TV news, chart state / screenshots, custom-column screenertradingview-reader (desktop app)

Rule of thumb: this skill first for anything price/TA/scan shaped — it needs zero setup and won't force a CDP relaunch of the user's TradingView app. Drop to tradingview-reader only for greeks or account-bound data (watchlists, alerts, charts).

Step 1: Check requirements

  • uv installed (brew install uv) — the server runs via uvx and self-installs on first launch (give the first call ~30s).
  • Python 3.10–3.13. The pinned upstream currently excludes Python 3.14.
  • Optional: MARKETAUX_API_TOKEN enables market_sentiment, financial_news, and the news legs of combined analysis.

If the MCP tools are missing, ask the user to restart the agent after enabling the plugin. Do not silently replace market data with invented values.

Step 2: Select the smallest useful tool set

Prefer one focused call for a simple question. For a research brief, combine only the independent views that matter: price/snapshot, TA, volume, and optionally news. Avoid calling multiple overlapping TA tools merely to produce more output.

Quotes & snapshots

ToolUse for
stock_prices(tickers)Bulk quotes. tickers is comma-separated EXCHANGE:SYMBOL (e.g. "NASDAQ:NVDA,NYSE:DELL"), up to 1,000 rows in one call. OHLC + change%.
yahoo_price(symbol)Single quote, Yahoo symbology: AAPL, BTC-USD, SPY, ^GSPC, ^VIX, EURUSD=X, THYAO.IS.
stock_extended_hours(symbol)Pre-market / after-hours price for a US symbol — earnings reactions, overnight moves.
market_snapshot()Global one-shot: major indices, top crypto, FX, key ETFs.
bitcoin_market_pulse()BTC price + dominance + total mcap risk frame — call before analyzing any crypto.

Technical analysis (single symbol)

ToolUse for
coin_analysis(symbol, exchange, timeframe)The canonical TA readout for one stock or coin — RSI, MACD, Bollinger rating, indicator summary. Despite the name it handles stocks: coin_analysis("NVDA", "NASDAQ", "1D").
multi_timeframe_analysis(symbol, exchange)Weekly → Daily → 4H → 1H → 15m trend alignment.
combined_analysis(symbol, exchange, timeframe)TA + news + sentiment in one call (news legs need MARKETAUX_API_TOKEN).
multi_agent_analysis(symbol, exchange, timeframe)Technical vs Sentiment vs Risk "debate" summary.
volume_confirmation_analysis(symbol, exchange, timeframe)Is the move volume-confirmed?

Exchange-wide scans

ToolUse for
top_gainers / top_losers(exchange, timeframe, limit)Movers on one exchange.
bollinger_scan(exchange, timeframe, bbw_threshold, limit)Low-BBW squeeze candidates.
rating_filter(exchange, timeframe, rating, limit)Filter by BB rating −3 (strong sell) … +3 (strong buy).
volume_breakout_scanner / smart_volume_scannerVolume + price breakout detection.
consecutive_candles_scan / advanced_candle_patternCandle-pattern scans.
stock_screener(country, stock_type, limit, …)Common/preferred share screen by country (america, japan, …), mcap-ranked.

Futures (夜盘 / overnight)

ToolUse for
futures_market_overview(category, exchanges, limit)Top contracts by volume. category: all / equity_index / energy / metals / agriculture / rates / forex / crypto_futures; exchanges: us / global.
futures_top_movers(direction, exchanges, limit)Biggest % movers today.
futures_category_snapshot(category)OHLCV for all front-month contracts in one category — e.g. equity_index → NQ, ES, YM, RTY.
futures_watchlist()Canonical front-month symbol list per category.

Options (US equities — no greeks)

ToolUse for
stock_options_chain(symbol, expiry)Calls + puts for one expiry (YYYY-MM-DD; omit → nearest). Returns strike, last, bid/ask, volume, OI, IV, ITM flag, plus the full available_expiries list. Source: Yahoo. No delta/gamma/theta/vega — use tradingview-reader for greeks.
stock_options_unusual_activity(symbol, top_n, min_volume, expiries)Top strikes by volume/OI ratio across the soonest expiries — positioning scan before earnings.

Backtesting

ToolUse for
backtest_strategy(symbol, strategy, period, interval, …)One strategy (rsi, bollinger, macd, ema_cross, supertrend, donchian, rsi_pullback, keltner_breakout, triple_ema) with Sharpe, max DD, win rate, vs buy-and-hold. Yahoo symbology.
compare_strategies(symbol, period, …)All 9 strategies ranked.
walk_forward_backtest_strategy(…)Train/test split with an overfitting verdict.

News & sentiment (needs MARKETAUX_API_TOKEN)

market_sentiment(symbol, category) · financial_news(symbol, category, limit)

Regional extras

egx_* (Egyptian Exchange suite) — rarely relevant; also BIST, HKEX, SSE, SZSE, TWSE supported via the exchange param on scan tools.

Step 3: Normalize inputs

  1. exchange defaults to KUCOIN (crypto!) on most scan/TA tools — always pass NASDAQ / NYSE explicitly for US equities.
  2. Three symbologies coexist: scanner tools take bare symbol + exchange param; stock_prices takes EXCHANGE:SYMBOL; Yahoo-backed tools (yahoo_price, backtests, options) take Yahoo tickers (BTC-USD, ^VIX, THYAO.IS).
  3. Timeframes: 5m, 15m, 1h, 4h, 1D, 1W, 1M. Intraday scans on stock exchanges can be sparse — prefer 1D for equities.
  4. Tool names are canonical as listed. Use coin_analysis and multi_timeframe_analysis, not README-style aliases such as get_technical_analysis.

Step 4: Validate and interpret results

  1. Check timestamps, exchange, symbol, session, and currency before drawing conclusions.
  2. Treat a returned error envelope as an error, not as an empty result. Use its retryability and symbol suggestions; retry at most once when marked retryable.
  3. Filter wide scanner results to roughly 10 rows and the columns relevant to the question.
  4. Treat Yahoo options IV as suitable for chain shape and OI/volume positioning, not precise IV rank or skew. Cross-check IV-sensitive work with tradingview-reader.
  5. Backtests are historical simulations. Report the period, interval, costs, sample size, benchmark, and walk-forward result when available; do not present them as forecasts.

Step 5: Respond to the user

Lead with the answer, then show a compact evidence table. Include an as-of timestamp and data source, name any missing or stale fields, and separate observed facts from interpretation. For trading-shaped requests, keep the response analytical and read-only: discuss risks and scenarios without placing or offering to place a trade.

Maintainer note

The server is pinned to an immutable upstream commit in .mcp.json. To upgrade it, select a reviewed SHA, update the pin, perform a real MCP initialize + tools/list handshake, confirm all tools remain read-only, and reconcile this catalog with the registered tool names and schemas.

Frequently asked questions

What does the Tradingview Mcp AI skill do?

Query TradingView market data through the bundled tradingview MCP server without a desktop app or login. Use whenever the user wants a technical analysis readout (RSI, MACD, Bollinger rating, BUY/SELL summary), multi-timeframe alignment (weekly→daily→4h→1h→15m), exchange-wide scans (Bollinger squeeze, volume breakout, consecutive candles, smart volume), top gainers/losers by exchange, futures market data (NQ/ES/CL/GC overview, overnight movers, category snapshots), pre-market / after-hours quotes, a quick options chain or unusual options activity (volume/OI by strike), bulk stock prices, a...

Why use Tradingview Mcp on TypingMind?

Because you install it once and use it with any model. Tradingview Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tradingview Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/himself65/finance-skills/tree/main/plugins/data-providers/skills/tradingview-mcp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tradingview Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tradingview Mcp?

As many as you like. As long as a model supports skills, you can use Tradingview Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tradingview Mcp AI skill free?

Yes. It is published on GitHub by himself65 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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