# ETF Flow (CoinGlass)

> Use this tool when you need to analyze historical Bitcoin and Ethereum ETF fund flows, as it provides structured markdown tables with real-time data from the CoinGlass API. It solves problems related to cryptocurrency market analysis, ETF performance tracking, and financial decision-making by offering unified and dynamic data retrieval. The tool takes ETF type (BTC or ETH) as input and outputs markdown tables with ETF tickers, dates, and total flow calculations, making it ideal for AI assistants requiring current fund flow insights.

Canonical page: https://skillsregistry.net/skills/kukapay-etf-flow  
JSON: https://api.skillsregistry.net/v1/skills/kukapay-etf-flow

## Description

This MCP server provides crypto ETF flow data from the CoinGlass API, enabling AI assistants to retrieve and analyze historical Bitcoin and Ethereum ETF fund flows in structured markdown tables. Built by kukapay using Python with FastMCP, pandas, and httpx, it features a unified tool that dynamically fetches ETF flow data for BTC or ETH, formats results using pivot tables with ETF tickers as columns and dates as rows, includes total flow calculations, and provides prompt guidance for streamlined LLM interactions. The implementation uses the CoinGlass API for real-time financial data access and presents information in user-friendly markdown tables sorted by date in descending order, making it valuable for cryptocurrency market analysis, ETF performance tracking, and financial decision-making workflows that require current fund flow insights.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kukapay-etf-flow)
- **Repository:** <https://github.com/kukapay/etf-flow-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": "kukapay-etf-flow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kukapay-etf-flow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kukapay-etf-flow/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