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tradingview-mcp
AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation
3kstars
1.5kforks
JavaScript
Quality signals
StaleNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Connects AI assistants like Claude Code to TradingView Desktop for chart analysis, Pine Script development, and workflow automation via Chrome DevTools Protocol.
Use this when
- Debugging Pine Script in real-time with AI feedback
- Automating repetitive chart navigation tasks
- Generating trading ideas from live chart data
- Testing Pine Script strategies without manual clicks
- Capturing chart state for documentation or analysis
Don't use when
- Need real-time market data without a TradingView subscription
- Want to execute actual trades (this only interacts with charts)
- Rely on TradingView's official APIs (uses undocumented internals)
Capabilities
- Read chart indicators, price levels, and annotations via CDP
- Write, compile, and debug Pine Script with AI assistance
- Change symbols, timeframes, and chart layouts programmatically
- Draw shapes, lines, and annotations on charts
- Stream live price/indicator data to local scripts
- Capture screenshots of chart state for visual analysis
InstallMCP + SKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest tradesdontlie/tradingview-mcpAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/tradingview-mcp curl -fsSL https://raw.githubusercontent.com/tradesdontlie/tradingview-mcp/main/README.md -o ~/.claude/skills/tradingview-mcp/SKILL.md
Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
tradingview-mcp — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt