# TradingView Chrome MCP

> TradingView Chrome MCP — firyomaefx-tradingview-chrome-mcp. Use this tool when you need to automate interactions with TradingView charts, such as reading and modifying charts, managing watchlists, and setting alerts, all through natural language commands. It solves problems like manual chart analysis and Pine Script editing, allowing for efficient automation of trading tasks. The tool accepts natural language inputs and outputs chart data, screenshots, and script modifications, making it ideal for AI-powered trading assistants.

Canonical page: https://skillsregistry.net/skills/firyomaefx-tradingview-chrome-mcp  
JSON: https://api.skillsregistry.net/v1/skills/firyomaefx-tradingview-chrome-mcp

## Description

Enables AI assistants to remotely control TradingView charts in Chrome, including reading charts, writing and fixing Pine Script, managing watchlists and alerts, and capturing screenshots, all through natural language commands.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h06bhwi8zp)
- **Repository:** <https://github.com/firyomaefx/tradingview-chrome-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": "firyomaefx-tradingview-chrome-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/firyomaefx-tradingview-chrome-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/firyomaefx-tradingview-chrome-mcp/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