TradingView MCP Server
Provides integration with Binance public market data, enabling the server to fetch OHLCV candles, compute technical indicators (RSI, MACD, EMAs, volume), and evaluate bias and risk rules for crypto trading analysis.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TradingView MCP Serverscan my watchlist for bullish bias"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
tradingview-mcp
An MCP server for the crypto chart-analysis workflow described in
config/rules.json: it pulls candles, computes the indicators you care about,
and evaluates your bias and risk rules against them.
Design note: why this does not attach to TradingView
The setup guide this started from drove the TradingView desktop app over the
Chrome DevTools Protocol (--remote-debugging-port=9222). That approach hands
the server full control of a browser session you are logged into — it can read
your account, not just your charts.
Nothing in rules.json needs it. Binance spot pairs, 1W/1D/4H candles, RSI,
MACD, EMAs and volume are all available from public endpoints with no
authentication. So this server reads public market data, holds no credentials,
and never touches a logged-in session.
The one thing the CDP approach would buy you is data this cannot reach: your saved layouts and drawings, paid indicators, and exchange feeds you subscribe to. If you need those, that is the tradeoff to reopen deliberately.
Related MCP server: Tickory MCP Server
Install
npm install
npm test # 46 unit + integration tests, no network required
npm run smoke # live end-to-end check against the real APIRegister it with Claude Code by merging config/mcp-entry.json into
~/.claude.json, replacing <HOME> with your home directory:
{
"mcpServers": {
"tradingview": { "command": "node", "args": ["<HOME>/tradingview-mcp/src/server.js"] }
}
}If mcpServers already exists, add the tradingview key to it rather than
replacing the object.
Point the server at a different rules file with TRADINGVIEW_MCP_RULES=/path/to/rules.json.
Tools
Tool | What it does |
| Config + data source reachability. Reports |
| The loaded |
| Latest traded price. |
| Raw OHLCV, oldest first. |
| RSI, MACD, trend EMA, 200 EMA, volume, market structure. |
| Bias for one symbol/timeframe, with every condition shown. |
| Bias across the whole watchlist and all timeframes. |
| Current CRYPTOCAP TOTAL / TOTAL3 / BTC.D. |
| Position size and R:R from your risk rules. |
How bias is decided
bias_criteria in rules.json is prose — useful for a human and for the
model, but not machine-parseable. The numeric thresholds that actually drive
get_bias live in bias_engine, so the two are kept deliberately in sync.
A symbol is bullish only when all three hold: price above the trend EMA, daily RSI inside the bull band, and market structure showing higher highs and higher lows. Bearish is the mirror. Anything else is neutral.
get_bias always returns the individual condition results alongside the label,
so you can see why — and if an input is unavailable (for example a 200 EMA on
a pair without 200 bars of history) it returns unknown with the reason rather
than a number it cannot support.
Two deliberate consequences worth knowing:
RSI above 70 is not bullish. Your band tops out at 70, so a vertical melt-up reads as neutral, not as a long signal.
The RSI gate always comes from the daily, even when judging the 4H, because
rules.jsonspecifies the RSI condition "on daily".
The EMA period
Your original rules had a contradiction: all three bias_criteria referenced a
500 EMA, while indicators_i_care_about listed only the 50 and 200.
I set bias_engine.trend_ema_period to 50, matching your indicator list —
a 500 EMA on the weekly would need roughly a decade of candles, which most of
these pairs do not have.
If you meant 500, it is a one-line change in config/rules.json, and the
unknown path means you will get an honest "not enough history" rather than a
silently wrong answer.
Data sources and their limits
Binance public REST for spot pairs; CoinGecko /global for the CRYPTOCAP
aggregates.
The CRYPTOCAP entries are current values only — free market-cap history is
not available, so get_indicators and get_bias refuse them rather than
inventing a series. scan_watchlist skips them and lists them under
skipped_macro. TOTAL3 is derived as TOTAL x (1 - BTC.D - ETH.D).
Binance geo-blocks some regions. If tv_health_check reports unreachable from
a network you expect to work, that is the first thing to check.
Testing
npm test runs entirely offline: the indicator math is verified against
Wilder's published RSI reference values, and the MCP layer is driven by a real
client over an in-memory transport with a stubbed data source.
npm run smoke is the part that needs real network — it launches the server
over stdio the way a client does and calls the live API.
Not financial advice
This reports what your own rules say about public data. It does not decide
anything for you, and the no_trades_during windows in rules.json are
surfaced as reminders, not enforced — nothing here checks an economic calendar.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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