Which integrations are available for this server?

Provides tools for market screening across stocks, forex, crypto, and ETFs, symbol discovery, technical analysis summaries, and pre-built investment strategies via the TradingView API.

How do I use tradingview-mcp-server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@tradingview-mcp-server screen stocks using the quality_stocks preset" 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-server

by fiale-plus

Overview Schema Related Servers Score Discussions

TypeScript

Remote

NPM Version NPM Downloads Test Status License MCP

Unofficial MCP server and CLI for TradingView's market screener API — stocks, forex, crypto & ETFs.

AI-powered investment research for patient, systematic investors.

Two modes, one package: Use as an MCP server with Claude, or as a standalone CLI tool that pipes to jq, csvtool, or any Unix workflow.

TradingView MCP Server

Related MCP server: TradingView MCP Jackson

Demo

Features

Dual mode: MCP + CLI — use as an MCP server with Claude or as a standalone tradingview-cli command
100+ screener fields including Piotroski F-Score, Altman Z-Score, Graham Number, analyst consensus, and dividend growth streaks
18 filter operators including crosses_above / crosses_below for golden cross detection
14 pre-built strategies covering value, growth, quality, GARP, deep value, breakouts, compounders, and macro monitoring
Symbol discovery — search for TradingView symbols by name, ticker, or description via search_symbols
Technical analysis — TradingView-style buy/sell/neutral summaries and multi-timeframe TA ranking via get_ta_summary and rank_by_ta
Market metadata — discover available screener fields per market via get_market_metainfo
9 investor workflow commands — from /due-diligence to /macro-dashboard — built on top of the MCP tools
Multi-asset coverage — stocks, ETFs, forex, and crypto with asset-specific field discovery via list_fields
Smart caching and rate limiting — configurable TTL and requests-per-minute to keep usage responsible

Installation

Option 1: NPM (Recommended)

npm install -g tradingview-mcp-server

Option 2: Clone Repository (includes demo commands)

git clone https://github.com/fiale-plus/tradingview-mcp-server.git
cd tradingview-mcp-server
npm install

# Quick setup — creates project-level MCP config
./local-setup.sh          # Linux/Mac
local-setup.bat           # Windows

# Restart Claude Code and try: /market-regime or /run-screener

CLI Usage

After installing the package, the tradingview-cli command is available globally:

# List all pre-built screening strategies
tradingview-cli presets

# Screen stocks using a preset
tradingview-cli screen stocks --preset quality_stocks --limit 10

# Screen with custom filters
tradingview-cli screen stocks --filters '[{"field":"price_earnings_ttm","operator":"less","value":15}]'

# Look up specific symbols (indexes, stocks)
tradingview-cli lookup NASDAQ:AAPL TVC:SPX NYSE:MSFT

# Discover available screening fields
tradingview-cli fields --asset-type stock --category fundamental

# Search for a symbol
tradingview-cli search apple --exchange NASDAQ

# Get market metadata
tradingview-cli metainfo america --fields name,close,market_cap_basic

# Technical analysis summary
tradingview-cli ta NASDAQ:AAPL NASDAQ:NVDA

# Rank symbols by TA score
tradingview-cli rank-ta NASDAQ:AAPL NASDAQ:MSFT NASDAQ:NVDA --timeframes 60,1D --weights '{"1D":3}'

Output Formats

# JSON (default) — pipe to jq
tradingview-cli screen stocks --preset value_stocks | jq '.stocks[].name'

# CSV — pipe to file or csvtool
tradingview-cli screen stocks --preset value_stocks -f csv > results.csv

# Table — human-readable terminal output
tradingview-cli screen stocks --preset value_stocks -f table

CLI Commands

Command	Description
`screen stocks [opts]`	Screen stocks by fundamental/technical criteria
`screen forex [opts]`	Screen forex pairs
`screen crypto [opts]`	Screen cryptocurrencies
`screen etf [opts]`	Screen ETFs
`lookup <symbols...>`	Look up specific symbols by ticker
`search <query> [opts]`	Search for symbols by name, ticker, or description
`metainfo <market> [opts]`	Get metadata about a market screener
`ta <symbols...> [opts]`	Get technical analysis summary for symbols
`rank-ta <symbols...> [opts]`	Rank symbols by weighted TA scores
`fields [opts]`	List available screening fields
`preset <name>`	Get a preset strategy's details
`presets`	List all available presets

Screen Options

Flag	Description
`--filters <json>`	Filter array as JSON string
`--preset <name>`	Load a preset (merges with `--filters`)
`--markets <market>`	Market to screen (repeatable, stocks/etf only)
`--sort-by <field>`	Sort by field
`--sort-order <asc\|desc>`	Sort direction
`--limit <n>`	Max results (1-200, default 20)
`--columns <col>`	Columns to include (repeatable)
`-f, --format <fmt>`	Output: `json`, `csv`, or `table`

Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json on Mac:

{
  "mcpServers": {
    "tradingview": {
      "command": "npx",
      "args": ["-y", "tradingview-mcp-server"]
    }
  }
}

Claude Code

Create .mcp.json in your project root:

{
  "mcpServers": {
    "tradingview": {
      "command": "npx",
      "args": ["-y", "tradingview-mcp-server"]
    }
  }
}

Enable in .claude/settings.local.json:

{
  "enableAllProjectMcpServers": true
}

Environment Variables

Variable	Default	Description
`CACHE_TTL_SECONDS`	`300`	How long to cache API responses (seconds)
`RATE_LIMIT_RPM`	`10`	Maximum API requests per minute

MCP Tools

Twelve tools are exposed to Claude:

Tool	Description	Key Parameters
`screen_stocks`	Screen stocks by fundamental and technical criteria	`filters`, `markets`, `sort_by`, `limit`, `columns`
`screen_forex`	Screen forex pairs by technical criteria	`filters`, `sort_by`, `limit`
`screen_crypto`	Screen cryptocurrencies by market and technical criteria	`filters`, `sort_by`, `limit`
`screen_etf`	Screen ETFs by performance and technical criteria	`filters`, `markets`, `sort_by`, `limit`
`lookup_symbols`	Direct lookup by ticker — required for indexes like `TVC:SPX`	`symbols` (up to 100), `columns`
`list_fields`	Discover available fields for any asset type	`asset_type` (`stock`, `forex`, `crypto`, `etf`), `category`
`search_symbols`	Search for symbols by name, ticker, or description	`query`, `exchange`, `asset_type`, `limit`
`get_market_metainfo`	Get metadata about a market screener and available fields	`market`, `fields`, `mode` (`summary`/`raw`)
`get_ta_summary`	TradingView-style technical analysis summary (buy/sell/neutral)	`symbols`, `timeframes`, `include_components`
`rank_by_ta`	Rank symbols by weighted TA scores across timeframes	`symbols`, `timeframes`, `weights`
`get_preset`	Retrieve a pre-configured screening strategy by key	`preset_name`
`list_presets`	List all available preset strategies with descriptions	—

Filter Structure

All screening tools accept filters in this shape:

{ "field": "return_on_equity", "operator": "greater", "value": 15 }
{ "field": "RSI", "operator": "in_range", "value": [40, 65] }
{ "field": "SMA50", "operator": "crosses_above", "value": "SMA200" }
{ "field": "exchange", "operator": "in_range", "value": ["NASDAQ", "NYSE"] }

Cross-field comparison (second example above) enables golden cross / death cross detection without needing a value on the right-hand side.

Symbol Discovery

Use search_symbols to find exact TradingView identifiers before screening:

// Search for Apple
{ "query": "apple" }

// Narrow by exchange and type
{ "query": "bitcoin", "exchange": "BINANCE", "asset_type": "crypto" }

Returns normalized symbols with exchange, type, and currency.

Market Metainfo

Use get_market_metainfo to discover available fields for a market:

// All fields for US stocks
{ "market": "america" }

// Specific fields only
{ "market": "america", "fields": ["name", "close", "market_cap_basic"] }

// Raw passthrough for debugging
{ "market": "america", "mode": "raw" }

Technical Analysis Summary

Use get_ta_summary for TradingView-style buy/sell/neutral labels:

// Single symbol, default timeframes (60m, 4H, 1D, 1W)
{ "symbols": ["NASDAQ:AAPL"] }

// Multiple symbols with custom timeframes
{ "symbols": ["NASDAQ:AAPL", "NASDAQ:NVDA"], "timeframes": ["60", "240", "1D", "1W"] }

Returns labels (strong_buy, buy, neutral, sell, strong_sell) plus raw scores based on oscillators and moving averages.

TA Ranking

Use rank_by_ta to compare symbols by weighted technical alignment:

// Equal-weight ranking
{ "symbols": ["NASDAQ:AAPL", "NASDAQ:MSFT", "NASDAQ:NVDA"] }

// Weight daily timeframe 3x more
{ "symbols": ["NASDAQ:AAPL", "NASDAQ:MSFT"], "weights": { "1D": 3, "1W": 2 } }

Returns ranked list with per-timeframe breakdown and weighted average score.

Screening Fields

Use list_fields to browse fields. Pass asset_type to get tailored lists for each asset class.

Stocks (~80 fields)

Valuation price_earnings_ttm, price_book_fq, price_sales_current, enterprise_value_current, enterprise_value_ebitda_ttm, enterprise_value_to_ebit_ttm, price_earnings_growth_ttm (PEG), ebitda

Profitability & Returns return_on_equity, return_on_assets, return_on_invested_capital_fq, gross_margin_ttm, operating_margin_ttm, net_margin_ttm, after_tax_margin, pre_tax_margin_ttm, free_cash_flow_margin_ttm

Growth total_revenue_yoy_growth_ttm, earnings_per_share_diluted_yoy_growth_ttm, revenue_per_share_ttm, total_revenue, net_income, earnings_per_share_diluted_ttm

Balance Sheet debt_to_equity, total_debt, total_assets, current_ratio, free_cash_flow_ttm, free_cash_flow_fq

Dividends dividend_yield_recent, dividends_yield_current, dividend_payout_ratio_ttm, continuous_dividend_payout_years, dps_yoy_growth_ttm

Composite Scores (unique differentiators)

Field	Description
`piotroski_f_score_ttm`	0–9 financial strength composite. Score ≥7 = strong, ≤2 = weak
`altman_z_score_ttm`	Bankruptcy predictor. >2.99 = safe, 1.81–2.99 = grey zone, <1.81 = distress
`graham_numbers_ttm`	Intrinsic value = sqrt(22.5 × EPS × BVPS). Price below = undervalued

Analyst Data Recommend.All (composite −1 to +1), analyst_recommendations_buy, analyst_recommendations_sell, analyst_recommendations_neutral, price_target_average, price_target_high, price_target_low

Technical RSI, SMA50, SMA200, EMA10, VWAP, ATR, ADX, Volatility.M, beta_1_year, beta_3_year, beta_5_year, Recommend.MA, Recommend.Other

Performance & Price Levels close, change, volume, average_volume_90d_calc, average_volume_30d_calc, relative_volume_10d_calc, Perf.5D, Perf.W, Perf.1M, Perf.3M, Perf.6M, Perf.Y, Perf.YTD, Perf.3Y, Perf.5Y, Perf.10Y, Perf.All, price_52_week_high, price_52_week_low, all_time_high, all_time_low, High.All

Metadata sector, industry, exchange, market, is_primary, indexes, fundamental_currency_code, earnings_release_next_trading_date_fq

ETFs

expense_ratio, shares_outstanding, dividends_yield_current, close, volume, Perf.W through Perf.Y, RSI, ATR

Crypto

close, change, volume, market_cap_basic, RSI, ATR, Volatility.M, Perf.W through Perf.Y

Forex

close, change, volume, RSI, ATR, ADX, Volatility.D, SMA50, SMA200, Perf.W through Perf.3M

Pre-built Strategies

Retrieve any preset with get_preset or browse all with list_presets.

Key	Name	Style	What It Screens For
`quality_stocks`	Quality Stocks (Conservative)	Quality	ROE >12%, low debt, low volatility, golden cross
`value_stocks`	Value Stocks	Value	P/E <15, P/B <1.5, ROE >10%
`dividend_stocks`	Dividend Stocks	Income	Yield >3%, large cap, D/E <1.0
`momentum_stocks`	Momentum Stocks	Momentum	RSI 50–70, golden cross, 1M performance >5%
`growth_stocks`	Growth Stocks	Growth	ROE >20%, operating margin >15%
`quality_growth_screener`	Quality Growth Screener	Quality + Growth	16 filters: ROE, margins, revenue growth, technicals, exchange filter
`quality_compounder`	Quality Compounders (Munger/Buffett)	Compounder	Gross margin >40%, ROIC >15%, FCF margin >15%, growing revenue
`garp`	GARP (Growth at Reasonable Price)	GARP	PEG <2, ROE >15%, revenue growth >10%
`deep_value`	Deep Value (Contrarian)	Deep Value	P/E <10, P/B <1.5, positive FCF
`breakout_scanner`	Breakout Scanner	Momentum	Near 52-week high, golden cross, RSI 50–75, above-average volume
`earnings_momentum`	Earnings Momentum	Earnings	EPS growth YoY >20%, revenue growth >10%, RSI 45–70
`dividend_growth`	Dividend Growth (Compounding Income)	Dividend Growth	Yield 1–6%, payout ratio <70%, positive FCF, consecutive years paying
`macro_assets`	Macro Asset Monitor	Macro	VIX, DXY, 10Y yield, Gold, WTI Oil, Bitcoin — direct symbol lookup
`market_indexes`	Global Market Indexes	Market Regime	13 global indexes (US, Europe, Asia, Nordic) with ATH and performance data

Investor Commands

The repository ships with 9 ready-to-use Claude Code commands in .claude/commands/. Clone the repo and run ./local-setup.sh to activate them.

Command	Usage	What It Does
`/market-regime`	`/market-regime`	Analyzes Nasdaq, OMX Stockholm 30, and Nikkei 225 vs ATH. Shows drawdown, RSI, and bull/correction/bear regime status
`/run-screener`	`/run-screener`	Interactive wizard to pick a preset strategy, run it, display a compact table, and save results to CSV
`/due-diligence`	`/due-diligence AAPL`	Structured due diligence report: valuation, quality, growth, balance sheet, dividends, technicals, performance, and checklist assessment
`/compare-peers`	`/compare-peers AAPL MSFT GOOGL`	Side-by-side comparison of 2–5 stocks across valuation, quality, growth, and momentum with category rankings
`/sector-rotation`	`/sector-rotation`	Screens top stocks in all 11 GICS sectors, calculates average performance, assigns Accelerating/Decelerating signals, and recommends a preset
`/smart-screen`	`/smart-screen`	Determines current market regime (bull/correction/bear) from SPX, then auto-selects and runs the most appropriate preset
`/macro-dashboard`	`/macro-dashboard`	Multi-asset snapshot: US and global indexes, VIX, DXY, 10Y yield, Gold, Oil, BTC with auto-interpreted macro signals
`/portfolio-risk`	`/portfolio-risk AAPL MSFT JPM XOM`	Portfolio concentration risk, sector breakdown, beta analysis, and diversification recommendations
`/investment-thesis`	`/investment-thesis NVDA`	Data-driven investment thesis with bull/bear case, key metrics table, technical setup, entry/exit framework, and monitoring checklist

Operators

All screening tools support the following operators in filter conditions:

Operator	Description	Example
`greater`	Field > value	`return_on_equity > 15`
`less`	Field < value	`price_earnings_ttm < 20`
`greater_or_equal`	Field >= value	`close >= 10`
`less_or_equal`	Field <= value	`Volatility.M <= 3`
`equal`	Exact match	`sector = "Technology"`
`not_equal`	Not equal	`exchange != "OTC"`
`in_range`	Value within `[min, max]` or in a list	`RSI in [45, 65]` or `exchange in ["NASDAQ", "NYSE"]`
`not_in_range`	Value outside range or list	`RSI not_in [70, 100]`
`crosses`	Field crosses the reference (either direction)	`SMA50 crosses SMA200`
`crosses_above`	Field crosses above the reference	`SMA50 crosses_above SMA200` (golden cross)
`crosses_below`	Field crosses below the reference	`SMA50 crosses_below SMA200` (death cross)
`match`	Text contains substring	`name match "tech"`
`above_percent`	Field is N% above reference	`close above_percent SMA200`
`below_percent`	Field is N% below reference	`close below_percent SMA200`
`has`	Field contains value (list fields)	`indexes has "S&P 500"`
`has_none_of`	Field contains none of the values	filters out specific index members
`empty`	Field has no value	`dividend_yield_recent empty`
`not_empty`	Field has a value	`all_time_high not_empty`

String fields (sector, exchange, industry, market) use equal for single values and in_range for lists.

Development

npm install          # Install dependencies
npm run build        # Compile TypeScript to dist/
npm test             # Run all tests
npm run test:watch   # Run tests in watch mode
npm run dev          # Run directly with tsx (no build step)

Run a single test file:

npm test -- fields.test.ts

After making changes, restart Claude to reload the MCP server (no hot-reload).

Adding a New Field

Add to STOCK_FIELDS in src/tools/fields.ts with name, label, category, type, description
Optionally add to EXTENDED_COLUMNS in src/tools/screen.ts

Adding a New Preset

Add to PRESETS in src/resources/presets.ts with filters, markets, sort_by, sort_order, and optional columns.

Adding a New Tool

Create implementation in src/tools/
Register in ListToolsRequestSchema handler in src/index.ts
Add case in CallToolRequestSchema handler

Disclaimer

This is an unofficial tool. It is not affiliated with, endorsed by, or connected to TradingView. It uses TradingView's public scanner API, which may change without notice. No authentication is required; access level is the same as the TradingView website without login.

Not investment advice. Screening results are for informational and educational purposes only. All investment decisions are your sole responsibility. Past performance does not indicate future results. Consult qualified financial advisors before making investment decisions.

This software is provided "AS IS" under the MIT License, without warranty of any kind.

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