"A server for TradingView - the financial charting and trading platform" matching MCP servers:

Enables rendering shadcn/Recharts chart specs to PNG images and extracting equivalent JSX, over MCP with stdio or HTTP transports.

Enables LLM clients or shell users to read and control a live TradingView Desktop chart, including chart state, OHLCV and indicator values, Pine Script editing/compiling, drawings, alerts, bar replay, and screenshots via the Chrome DevTools Protocol.

Enables AI assistants to drive a live TradingView chart in Chrome, turning natural-language trading ideas into compiled Pine Script indicators, adding them to charts, and reading back results. It also supports chart navigation, indicator management, screenshots, and strategy tester backtest results.

Provides AI agents with a TradingView-centric toolkit for screener queries, historical FX data, pattern scanning, chart rendering, backtesting, Pine tooling, and optional account/desktop integration.

A review-only MCP server that provides tools for reviewing trade records against a live TradingView Desktop chart over Chrome DevTools Protocol on localhost.

Enables AI agents to drive TradingView Desktop, switch through a layout's symbols, and export each chart's rendered image, CSV data, and indicator details to local files, which they can then read in part or crop on demand. It runs jobs in a background process that does not consume agent tokens and keeps only the current day's output, leaving symbol choice, analysis, and use of the data to the caller.

A local-first MCP server providing market data, deterministic technical analysis, chart rendering, and optional TradingView Supercharts browser workflows via stdio and a loopback REST API.

Enables AI agents to inspect and measure live crypto charts, read indicator and market-structure data, add native indicators, and create editable annotations through a local MCP bridge.

Enables AI agents to log trades from chart screenshots, validate them against custom strategy rules, import statements from MT5/TradingView and other brokers, and review R-based statistics in a local dashboard.

Enables remote MCP clients to automate a headless TradingView chart via HTTP/SSE, exposing 84 tools for chart navigation, market data and indicators, Pine Script, drawings, screenshots, alerts, watchlists, replay, and batch operations.

Enables AI assistants to control a logged-in TradingView chart in Chrome, including writing and compiling Pine Script indicators, adding them to charts, changing symbols and timeframes, capturing screenshots, and retrieving strategy tester results.

Enables Claude to control and read from the TradingView Desktop app, providing automated morning briefs, chart analysis, Pine Script development, and replay mode.

Enables AI assistants to connect to a locally running TradingView Desktop app via Chrome DevTools Protocol, allowing chart analysis, Pine Script editing and compilation, drawing, alerts, and workflow automation.

Connects Claude Code to your local TradingView Desktop app via Chrome DevTools Protocol, enabling AI-assisted chart analysis, Pine Script development, and workflow automation.

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

Enables Hermes agents to build and run auditable startup financial models, validate inputs, execute linked-statement scenarios, verify results, summarize outcomes, and perform sensitivity analyses through six finance tools.

Enables natural-language stock comparison queries that produce PNG charts and financial metrics such as returns, volatility, and drawdowns via MCP tools.

Enables fetching TradingView chart images by ticker and interval with browser pooling for high concurrency.

Enables Claude to retrieve real-time financial data, extract ESG risk metrics for S&P 500 companies, and generate automated analytical visualizations through three integrated MCP tools.

Enables users to fetch chart snapshots for specified ticker symbols and time intervals, returning direct image URLs or base64 captures with browser pooling for faster concurrent requests.