# tv-history

> tv-history — yar822-tv-history-mcp. Use this tool when you need to analyze historical asset data for informed trading decisions. It solves problems related to fetching and processing large amounts of financial data, such as OHLCV bars and candlestick charts, by utilizing tvDatafeed and cached CSV files. It takes asset identifiers and timeframes as inputs and outputs detailed trade execution data and charts for further analysis.

Canonical page: https://skillsregistry.net/skills/yar822-tv-history-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yar822-tv-history-mcp

## Description

MCP server for historical asset analysis using tvDatafeed and cached CSV files. Enables fetching OHLCV bars, candlestick charts, and trade execution data for TradingView-style assets.

## Trust

- **Trust score (0–1):** 0.69
- **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/zwrugoknru)
- **Repository:** <https://github.com/yar822/tv_history_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": "yar822-tv-history-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yar822-tv-history-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yar822-tv-history-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