# TradingView MCP Bridge

> TradingView MCP Bridge — monet88-tradingview-mcp. Use this tool when you need to integrate AI assistants with TradingView's capabilities, such as chart analysis and Pine Script development, to automate workflows and enable natural language interactions. It solves problems of manual data transfer and scripting by bridging AI assistants to TradingView Desktop via Chrome DevTools Protocol. This bridge accepts natural language inputs and outputs automated actions, alerts, and analysis results, ideal for use cases requiring streamlined trading and analysis workflows.

Canonical page: https://skillsregistry.net/skills/monet88-tradingview-mcp  
JSON: https://api.skillsregistry.net/v1/skills/monet88-tradingview-mcp

## Description

Bridges MCP-capable AI assistants to a locally running TradingView Desktop app via Chrome DevTools Protocol, enabling chart analysis, Pine Script development, drawing tools, alerts, and workflow automation through natural language.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iqiazjujyr)
- **Repository:** <https://github.com/monet88/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": "monet88-tradingview-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/monet88-tradingview-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/monet88-tradingview-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