# QuantXData MCP Server

> Use this tool when you need to access institutional crypto market data through natural language queries, enabling AI assistants to retrieve trades, order books, OHLCV, options, and more across 120+ exchanges. It solves problems related to data retrieval and analysis for cryptocurrency trading and research. The QuantXData MCP Server takes natural language inputs and outputs relevant market data, making it ideal for use cases requiring real-time crypto market insights.

Canonical page: https://skillsregistry.net/skills/appydam-quantxdata-mcp  
JSON: https://api.skillsregistry.net/v1/skills/appydam-quantxdata-mcp

## Description

MCP server that exposes QuantXData's institutional crypto market data APIs to AI assistants, enabling natural language queries for trades, order books, OHLCV, options, and more across 120+ exchanges.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/brua94kaiy)
- **Repository:** <https://github.com/appydam/quantxdata-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": "appydam-quantxdata-mcp"
    }
  }
}
```

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