pulsemcp scanned Safe content atomic mcp-remote

ETF Flow (CoinGlass)

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.

Cognium trust score

65%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: finance
Source: PulseMCP
Repository: github.com/kukapay/etf-flow-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

View source Find related skills

MCP

Resolve ETF Flow (CoinGlass) from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"