# chart-vision-mcp

> Use this tool when you need to analyze TradingView charts offline without API keys or GPU requirements. It solves problems of automated chart analysis, providing color, level, and zone detection capabilities through OpenCV and Tesseract OCR. The tool takes local chart images as input and outputs detected patterns and insights, making it ideal for offline trading strategy development and backtesting.

Canonical page: https://skillsregistry.net/skills/nessos666-chart-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nessos666-chart-vision-mcp

## Description

Local TradingView chart analysis via OpenCV + Tesseract OCR. No API keys, no GPU, runs fully offline — MCP server with color/level/zone detection.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/nessos666/chart-vision-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": "nessos666-chart-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nessos666-chart-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nessos666-chart-vision-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