No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jackson-video-resources · MCP Server · ★ 573
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-tradingview-mcp-trading safe to install? View the security audit →
Claude + TradingView MCP — Automated Trading New to this? Watch the previous video first — it sets up the TradingView MCP connection this builds on. What This Does Five things you get from this setup: Claude connected to your exchange — reads your TradingView chart and executes trades on BitGet automatically A safety check — every condition in your strategy must pass before a single trade goes through 24/7 cloud execution — deploy to Railway and it runs on a schedule, even when your laptop is closed Automatic tax accounting — every trade logged to with date, price, fees, and net amount, ready for your accountant Free — no email, no course, no upsell. Everything is in this repo. The One-Shot Prompt This is the thing you paste. Open Claude Code in this directory, paste the entire contents of , and Claude will do the rest. Here's what it does when you run it: Ca
| Stars | 573 |
| Forks | 292 |
| Language | JavaScript |
| Category | MCP Server |
| Quality Score | 67.9354890112286/100 |
| Open Issues | 5 |
| Last Updated | 2026-05-15 |
| Created | 2026-04-07 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~5k |
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claude-tradingview-mcp-trading is Connect Claude Code to TradingView and execute trades automatically via BitGet. It is categorized as a MCP Server with 573 GitHub stars.
claude-tradingview-mcp-trading is primarily written in JavaScript.
You can find installation instructions and usage details in the claude-tradingview-mcp-trading GitHub repository at github.com/jackson-video-resources/claude-tradingview-mcp-trading. The project has 573 stars and 292 forks, indicating an active community.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: