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Iturri MCP server

Which servers in the official MCP registry are Iturri's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-23

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Whose server it is
  • Registry nameai.iturri/market-dataverified in the MCP registry

The registry name sits under iturri.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-23
  • Stateanswerschecked 2026-10-23
  • Tools22
  • Server calls itselfiturri-data
  • Server version0.1.0
  • Protocol version2025-06-18

On 2026-10-23 the server answered initialize and tools/list without a sign-in. First answer in 51 ms.

Should an agent connect itNot proven either way yet
  • Whether its tools do the product's job has not been judged yet.
  • Checked on 3 of the 7 days it takes to judge reliability.

Once connected

  • For "exclude suspect candles using row-level flags before training", the likely first call is get_bars.
  • Parameters are untyped or undescribed in 18 of 22 tools: check arguments before calling.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 3, the first on 2026-10-24
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
  • Answeredmeasuring3 of the 7 daily checks it takes to print a share
  • Median first answer85 ms
  • Space in an agent's context≈ 1,942 tokensthe definitions of all its tools (22), which an agent carries on every turn
  • Tool definitionsC · 70 of 100
  • Typed results0 of 22 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 18 of 22
  • Not saying whether it only reads or can destroy: 22 of 22

What an agent can do with it

  • not sure · backtest trading strategies on verified crypto price history
  • not sure · train models on equity prices, raw and split-adjusted
  • can do · exclude suspect candles using row-level flags before training

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers22 tools · read 2026-10-23
  • describe_catalog

    Free discovery: symbols, timeframes, ranges, pricing, quality legend.

  • get_bars

    Quality-flagged OHLCV candles. Priced per 1,000 candles.

  • get_features

    Documented leakage-safe feature matrix rows. Priced per call.

  • build_bundle

    Signed URL for a dataset SKU. Packs: crypto|equities ($59 each), everything ($149: both packs + all token sequences, $730 list), tokens ($18/symbol), dataset (per-symbol OHLCV, crypto $14 / equity $5), mtf (aligned multi-timeframe bundle…

  • get_regime_label

    Descriptive market-state label (trend/range × calm/vol quadrant) for the most recent completed bar at or before a timestamp. Not a prediction.

  • get_funding

    Perp funding-rate settlement history from listing date (checksummed archive).

  • get_open_interest

    Open interest with per-row quality flags (verified archive + flagged bridge). tf=1h (default, full history) or tf=5m (archive-native 5-minute rows from 2020-09; ranged pulls, ~100k rows max per call).

  • get_long_short

    Positioning ratios at 5-minute cadence from the checksummed venue archive (2020-09+): top-trader long/short by accounts and by position size, all-accounts long/short, taker buy/sell volume ratio. Ranged pulls, ~100k rows max per call.

  • get_context

    Context series: fear_greed_1d, VIX_1d, DXY_1d, TNX_1d, DJI_1d.

  • get_events

    Curated macro/crypto events (FOMC w/ surprise, halvings, incidents) in a range.

  • get_orderflow

    Taker buy/sell imbalance, trade counts, quote volume (1h/1d via API; denser tiers in packs). buy_ratio 0.5 = balanced.

  • validate_backtest_data

    Quality report for a dataset spec before you backtest on it: coverage, per-bar quality distribution, gaps, and concrete warnings.

  • audit_my_data

    FREE: submit YOUR OHLCV bars and get an accuracy verdict against the verified archive — score, worst windows, systematic-offset findings. Tells you what's wrong, not the corrected values (that's get_bars).

  • lookahead_check

    FREE: submit backtest signals ({t, price}) and get an execution-feasibility verdict — impossible fills outside the bar's traded range, fills pinned at bar extremes (classic lookahead bias).

  • survivorship_check

    FREE: submit a backtest universe + window and get a survivorship-bias verdict — which of your symbols died mid-window, and which delisted symbols we cover that your universe omits.

  • get_fundamentals

    Point-in-time SEC XBRL fundamentals (80 filers, incl. delisted): every restatement vintage with its filed date. Pass as_of for what was knowable then. Filter by concept (e.g. Assets, Revenues).

  • get_insider

    SEC Form 4 insider transactions as filed (80 symbols, since 2016): officer/director trades with shares, price, post-trade holdings.

  • get_institutional

    Quarterly 13F institutional aggregates (81 symbols): holders, shares, value + QoQ deltas from SEC DERA structured tables.

  • get_funding_spread

    Hourly CEX-vs-DEX funding spread (67 symbols): Hyperliquid funding vs Binance 1h-equivalent, from HL genesis 2023-05.

  • get_market_pulse

    FREE daily pulse across the catalog: regime flips, funding extremes, CEX-vs-DEX spread extremes, biggest daily moves. One day of values — the history behind each number is the priced product.

  • get_whats_new

    FREE: what the daily refresh changed — dataset windows extended vs ~7 days ago, new symbols and sections, freshness per asset class.

  • get_quality_receipts

    FREE public scoreboard: last 30 daily fresh-data audits (cross-venue in-band vs Coinbase, 1m->1h rebuild exactness, depth sanity) — failures included, not hidden.

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "market-data": {
      "type": "http",
      "url": "https://iturri.ai/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

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

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://iturri.ai/mcp as a custom connector in the settings.

OpenAPI spec

24 paths, read 2026-10-23. Open the spec ↗

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.