# TradingView MCP Bridge

> TradingView MCP Bridge — gitcyberclouds-trading-mcp. Use this tool when you need to automate TradingView workflows, develop Pine Scripts, or analyze charts locally without transmitting data externally. It enables AI assistants to interact with TradingView Desktop via Chrome DevTools Protocol, providing a secure and efficient interface for chart analysis and automation. Ideal for use cases requiring local data processing and automation of TradingView tasks.

Canonical page: https://skillsregistry.net/skills/gitcyberclouds-trading-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gitcyberclouds-trading-mcp

## Description

Enables AI assistants to interact with TradingView Desktop via Chrome DevTools Protocol for chart analysis, Pine Script development, and workflow automation, all locally without external data transmission.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xiwa8lpic0)
- **Repository:** <https://github.com/gitcyberclouds/trading-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": "gitcyberclouds-trading-mcp"
    }
  }
}
```

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