Iturri MCP server — verified market data for AI agents

Hosted MCP server. No install, nothing to run — connect to https://iturri.ai/mcp.

Iturri is a data library for trading-bot and AI-agent builders: verified crypto and US-equity history, leakage-safe features, and an agent-native API. Coverage is deliberately narrow — 120 liquid symbols (34 crypto since 2015-12 at 1m/5m/15m/1h/1d, 86 US stocks & ETFs EOD since 2016), not tens of thousands of tickers. Every candle is traceable to a SHA-256-checksummed primary source, cross-checked against a second primary venue, and shipped with a data card. Data is T+1 fresh (candles refresh daily at 08:30 UTC); this is history you can trust, not a real-time stream.

Why per-bar quality flags matter for agents

Free data sources silently patch gaps and restate history, and an agent has no way to know. Iturri never patches silently: every bar carries its own verdict — verified, raw, reconciled, interpolated, disputed, or outage — so an agent can filter to verified bars in one step, or call validate_backtest_data and read the coverage, flag distribution, gaps, and warnings for a range before trusting a backtest result. 99.8%+ of the 124.5M+ crypto bars carry the verified flag, backed by published audit numbers (BTC: 87,643 bars, 100.00% agreement with Coinbase Exchange; cross-timeframe 1m→1h audit 98.95% exact / 99.93% in-band over 2.4M hours).

Related MCP server: Kronos Crypto Data MCP Server

Connect

The endpoint is streamable HTTP: https://iturri.ai/mcp (JSON-RPC 2.0 over POST; GET /mcp returns a human/agent-readable descriptor).

Claude Desktop

Add to claude_desktop_config.json (see examples/claude_desktop_config.json):

{
  "mcpServers": {
    "iturri": {
      "type": "http",
      "url": "https://iturri.ai/mcp",
      "headers": { "Authorization": "Bearer <membership token — optional>" }
    }
  }
}

Claude Code

claude mcp add --transport http iturri https://iturri.ai/mcp

Any other MCP client

Point a streamable-HTTP MCP client at https://iturri.ai/mcp. Optionally send Authorization: Bearer <membership token>. Omit the header and paid tools return x402 quotes that payment-capable agents settle per call (x402 MCP transport, _meta["x402/payment"]).

Then ask the model to call describe_catalog (free) and go from there.

The 11 tools

Payments — no accounts, no API keys

• x402 per call (agents). Any priced tool returns an x402 v2 quote (USDC on Base). A payment-capable agent signs the authorization, retries, gets data. Gasless for the payer; settles on-chain with a receipt. Minimum $0.001 per paid call; empty results are free. An agent can even buy its own membership: POST /api/subscribe, pay $39 via x402, receive the token — no human in the loop.

• Membership token. $39/month or $349/year — a bearer token that makes all metered API/MCP calls free (training-pack SKUs stay pay-per-sale). Humans: iturri.ai/subscribe (one MetaMask signature via EIP-3009). Renew by paying again — the token is the membership. No card, no account, no KYC.

• describe_catalog is free forever — discovery costs nothing.

Example conversation

User: Is Iturri's SOL hourly data clean enough to backtest over 2023?

Claude: (calls describe_catalog — free — confirms SOL 1h coverage; then calls validate_backtest_data for SOL/1h/2023-01-01→2024-01-01) The quality report shows the coverage for that range, the per-flag distribution, and any gaps or warnings. If the verified share is high and there are no warnings, fetching the bars with get_bars and filtering to verified gives you an honest backtest input. I can pull the bars next — that call is priced at $0.001 per 1,000 candles.

Links

• Site: https://iturri.ai/

• Docs / build roadmap: https://iturri.ai/build

• OpenAPI spec: https://iturri.ai/openapi.json

• llms.txt: https://iturri.ai/llms.txt

• MCP tutorial: https://iturri.ai/blog/connect-trading-data-to-claude-mcp

• Sourcing & verification policy: https://iturri.ai/sourcing

• Free catalog: https://iturri.ai/api/catalog

• Contact: source@iturri.ai

Hard line: Iturri sells data and tooling only. Nothing in any dataset, feature, label, or tool is a trading signal, a prediction, or financial advice. Verified history describes the past; it promises nothing about the future.