# Tastytrade MCP Server

> Use this tool when you need to access historical financial data for analysis or modeling. It solves problems related to data retrieval for backtesting trading strategies or researching market trends by providing historical candle data for specific financial symbols and time intervals. The tool takes financial symbols and time intervals as input and outputs historical price data via the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/tnngnc-mcp-tasty  
JSON: https://api.skillsregistry.net/v1/skills/tnngnc-mcp-tasty

## Description

Provides access to Tastytrade historical price data via the Model Context Protocol. It enables users to retrieve historical candle data for specific financial symbols and time intervals.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fydiftr41g)
- **Repository:** <https://github.com/tnngnc/mcp_tasty>

## 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": "tnngnc-mcp-tasty"
    }
  }
}
```

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