# TradingView Morning Brief

> Use this tool when you need to automate chart analysis and generate trading recommendations. It solves problems of manual data scanning and analysis by providing 81 tools for chart interaction and applying configurable trading rules to watchlists. The tool takes in watchlist data and indicator values as inputs and outputs session bias recommendations with persistent storage for comparative analysis.

Canonical page: https://skillsregistry.net/skills/gh-gautamk1512-tradingview-morning-brief  
JSON: https://api.skillsregistry.net/v1/skills/gh-gautamk1512-tradingview-morning-brief

## Description

Bridges Claude Code to TradingView Desktop through Chrome DevTools Protocol, providing 81 tools for chart interaction and analysis. Adds a morning brief workflow that scans watchlists, reads indicator values, and applies configurable trading rules to generate session bias recommendations with persistent storage for comparative analysis.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-gautamk1512-tradingview-morning-brief)
- **Repository:** <https://github.com/gautamk1512/tradingview-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gh-gautamk1512-tradingview-morning-brief"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-gautamk1512-tradingview-morning-brief` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-gautamk1512-tradingview-morning-brief/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt