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How Can AI Assistants Access Live Crypto Futures Data for Free?

Coinfuty provides free, no-key access to live crypto futures data for AI assistants through an MCP (Model Context Protocol) server and an llms.txt index. Any MCP-capable client — Claude, ChatGPT, Cursor and others — can query open interest, funding rates, long/short ratios, liquidations and volume for thousands of coins directly.

Published August 6, 2026 · Coinfuty — figures on this page are generated from Coinfuty’s aggregated live feed and refresh automatically. Latest update: September 19, 2026, 12:50 UTC.

Table of Contents

  1. Why is live market data hard for AI assistants?
  2. What can an assistant do with the MCP server?
  3. What does the data look like?
  4. What is llms.txt and why does it matter?
  5. What are the limits?
  6. Frequently Asked Questions

Why is live market data hard for AI assistants?

Language models are trained on a snapshot of the past — ask one for today’s funding rate and it can only guess or decline. The fix is tooling: give the assistant a live data source it can call at answer time. Most market data APIs put that behind paid keys and per-call billing, which rules out casual use. Coinfuty’s answer is a free, keyless MCP server exposing its aggregated futures feed to any AI client.

What can an assistant do with the MCP server?

MCP (Model Context Protocol) is the open standard for connecting AI clients to external tools. Once connected, an assistant can answer questions like “what is BTC funding right now?” or “which coins had the biggest OI change today?” by calling live tools instead of guessing. The server exposes seven read-only tools covering the market overview, the all-coin table, per-coin summaries, historical series for every metric, funding rates and per-exchange breakdowns — the same aggregated numbers rendered on this site.

Connection is one config entry pointing at https://mcp.coinfuty.com/api/mcp; step-by-step setup for Claude, ChatGPT and Cursor lives on the MCP docs page.

What does the data look like?

The paragraph and chart below are generated from the same feed the MCP tools serve — this is what an assistant gets when it asks for the market overview. As of the latest update, total crypto futures open interest across all tracked exchanges stands at $126.30B (+4.63% over the past 24 hours). $567.85M in leveraged futures positions were liquidated over the past 24 hours. The market Fear & Greed Index currently reads 74 (Greed).

Total crypto futures open interest over the last 30 daysHigh: $125.26BLow: $111.10BAug 20Sep 18
Total futures open interest, last 30 days — the same series the get_market_overview tool returns. Live data, refreshes automatically.

What is llms.txt and why does it matter?

Not every AI touchpoint is an MCP client — search-connected assistants browse the web like fast readers. For them Coinfuty publishes llms.txt, a plain-text index describing every data page in one file, and renders all pages server-side so current values are readable without JavaScript. The combination — MCP tools for connected clients, llms.txt plus server-rendered numbers for browsing ones — means an assistant can ground its answer in live figures whichever way it arrives.

What are the limits?

The MCP endpoint is rate-limited to 60 requests per minute per IP — generous for interactive assistant use, and the only restriction. No key, no signup, no billing. Responses carry a source attribution pointing back to the live page so downstream answers can cite where the numbers came from.

See the live data

  • MCP server docs — endpoint, tools and client setup
  • The live market table the tools are built on

Related Reading

How Aggregated Futures Data Works

What the data an AI assistant receives actually represents.

Aggregated Open Interest Explained

The headline metric the aggregated feed is built around.

Frequently Asked Questions

Does the Coinfuty MCP server require an API key?

No. The endpoint is free and keyless — any MCP-capable client can connect and call the tools immediately. Usage is rate-limited to 60 requests per minute per IP to keep it fair.

Which AI assistants can use MCP?

Any client that speaks the Model Context Protocol: Claude and Claude Code, ChatGPT (via connectors), Cursor, and a growing list of agent frameworks. Setup for each is on the MCP docs page.

What data can an assistant query through the server?

Seven read-only tools: market overview, the all-coin market table, per-coin summaries, price/OI/funding/long-short/liquidation/volume history, funding rates, per-exchange breakdowns, and the exchange list — the same aggregated data shown on the site.

What is llms.txt?

A plain-text index at coinfuty.com/llms.txt that describes the site's data and pages in a format AI assistants can read directly — a map that helps them find and cite the right live page for a question.