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  1. Home
  2. 💰 Finance & Fintech
  3. Tradingview MCP
Tradingview MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/23/2026, 4:46:02 AM

Tradingview MCP

User RatingsBe the first to rate and review this MCP server!
View Repository4.6k GitHub StarsTotal stargazers on GitHub for the source repository (4,614 stars).Visit Website
tradingmarket-datatechnical-analysisbacktesting

Market data, technical analysis, screeners, sentiment, and backtesting for stocks, crypto, forex, and futures.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
We couldn’t automatically confirm this listing starts correctly

We ran the install command below but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

uvx tradingview-mcp-server

No response to initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 4d ago.

Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "tradingview-mcp": {
      "command": "uvx",
      "args": [
        "tradingview-mcp-server"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💰 More in Finance & Fintech

Overview

The tradingview-mcp MCP server gives AI clients access to market data, technical indicators, screeners, sentiment, and backtesting across stocks, crypto, forex, and futures. It retrieves data server-side from public endpoints and does not require a TradingView account, API key, login, or browser automation. Use it for headless market research and strategy analysis, or connect to the hosted service for interactive candlestick charts inside supported conversations.

Use cases

•Screen crypto markets for top gainers
•Analyze stocks with technical indicators
•Compare trends across multiple timeframes
•Backtest trading strategies on historical data

Key features

•37 market data and analysis tools
•Technical indicators and combined analysis
•Multi-exchange market screeners
•Nine backtesting strategies
•Financial news and sentiment data
•Hosted interactive candlestick charts

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Tradingview MCP.

Extracted Tool Capabilities
37 market data and analysis tools
Technical indicators and combined analysis
Multi-exchange market screeners
Nine backtesting strategies
Financial news and sentiment data
Hosted interactive candlestick charts

How Tradingview MCP works

What the tradingview-mcp MCP server does

The tradingview-mcp MCP server exposes market research and technical-analysis functions to MCP-compatible AI clients. Its scope includes stocks, cryptocurrencies, foreign exchange, and futures across global exchanges. The README describes 37 tools covering live market data, technical indicators, screeners, financial news, sentiment, multi-timeframe analysis, and backtesting.

Example workflows include finding the top crypto gainers on an exchange, analyzing a stock such as NVDA, reviewing gold across several timeframes, or testing an RSI-based strategy on BTC. The server is intended for informational and educational analysis. It does not place trades, manage money, or provide investment advice.

How it works

Requests are handled through server-side access to public market-data endpoints. The implementation does not sign in to TradingView, scrape a TradingView session, control a browser, or use a TradingView account. That makes the tradingview-mcp MCP server different from MCP projects that automate the TradingView Desktop application.

A hosted deployment is available through a connector URL and can keep responding without a local process running. The hosted version also supports MCP Apps charts: chart requests can render interactive candlestick views in the conversation, with selectable 1-day, 1-hour, or 15-minute intervals and an optional Bollinger Bands overlay. Self-hosting is available as an open-source option.

Setup and configuration

The project supports Python 3.10 through 3.13 and is published on PyPI under the package name tradingview-mcp-server. The README presents two deployment paths: connect an MCP client to the hosted service, or install and run the server locally. The hosted option is aimed at users who do not want to manage Python dependencies; self-hosting does not require a paid TradingView account or TradingView API key.

The hosted service is a paid option with a 3-day free trial and plans described as Pro and Pro+. The repository states that self-hosting remains free. Follow the project’s current installation and client-configuration instructions for the exact local launch command and connector URL settings.

Tools and capabilities

The tradingview-mcp MCP server includes capabilities for:

  • Retrieving prices and extended-hours information
  • Ranking market movers and scanning for volume breakouts
  • Running technical-indicator and combined analyses
  • Comparing multiple timeframes
  • Reading financial news and market sentiment
  • Backtesting and comparing nine documented strategy types
  • Producing hosted interactive candlestick charts with optional Bollinger Bands

Several frequently used operations were converted to asynchronous execution, and the project describes retry handling and short-lived caching for some TradingView screener requests. These implementation details may improve concurrent request handling but do not change the data-source limitations.

Limitations and notes

Market data comes from third-party public sources and may be delayed, incomplete, inaccurate, or unavailable. Users are responsible for complying with the terms that apply to those data sources. Results such as indicators, scores, signals, entries, stop losses, and targets are computed outputs rather than recommendations. The software does not guarantee trading results, and users remain responsible for their own financial and regulatory decisions.

The project is independent and is not affiliated with or endorsed by TradingView Inc. Its name refers to the data and analysis use case, not to an official TradingView product.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
4.6k
Stargazers on the source repository.
npm downloads
1.6k
Package downloads in the last 30 days.
Last commit
24d ago
Most recent push to the default branch.
Install check
Inconclusive
Didn't respond in our test window — often a slow first install.
Directory activity
4 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Tradingview MCP

The project is published on PyPI as tradingview-mcp-server and supports Python 3.10–3.13. The README also offers a hosted connector URL, so local installation is optional.

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Technical Specs & Signals

Category💰Finance & Fintech
PricingFreemium
More technical detailsExpand â–¾
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 3, 2026
10/11 checks healthy over the last 46d
Views4
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars4,614
GitHub Star CountTotal stargazers on GitHub representing community popularity (4,614 stars).
Last commit24d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 1, 2026
npm downloads1,632/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
55Quality signal: Good · 55/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools17/30
Adoption & activity13/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 7d ago via OSV.dev · tradingview-mcp-server (PyPI)

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