Crypto perps for AI agents: funding, open interest, liquidations, order book, CVD, volume profile.
One address for any MCP client. You sign in at pastoral-apple-1829.customers.stytch.com once, after adding it.
At most: only reads or looks up information.
Odel charges nothing per call. The publisher may charge for its own service.
| Access to | Read | Change |
|---|---|---|
| Your identity | ||
| Profile | ||
| Email address |
From the sign-in at pastoral-apple-1829.customers.stytch.com, as the endpoint publishes it. You approve it there.
Odel could not list its tools without signing in.
Read-only crypto perps microstructure for AI agents — normalized cross-exchange market state with self-declared coverage and freshness on every metric. Facts and normalization, no verdicts: the agent interprets.
https://api.markettrace.ai/mcp (Streamable HTTP, OAuth — no API keys)ai.markettrace/agent-feedThis repo is the front door — connection configs, the interface contract, and a thin stdio bridge. The data pipeline itself (4-venue ingest, archives, normalization) is not open source.
9 assets (BTC, ETH, SOL, BNB, XRP, DOGE, HYPE, ZEC, ENA) across Binance, Bybit, OKX, Hyperliquid:
| Tool | What it answers |
|---|---|
get_market_state | One normalized snapshot: funding + its trailing 2-year percentile, OI, volume, CVD, order-book imbalance, liquidations, basis, drivers. "Is ETH positioning stretched?" |
get_funding_percentile | Current funding ranked against its own trailing 2-year window (0–100) + same-sign streak. |
get_liquidations_recent | Cross-exchange liquidation notional estimates for a window: USD, long/short split. |
get_ohlcv | Consolidated cross-exchange candles (5m…1d) with per-candle delta (taker buy − taker sell), for ATR, ranges, CVD and RV math. |
get_conditional_outcomes | Measured forward-return history after a stated condition — base rates instead of folklore. "What happened historically after funding above the 90th percentile?" |
get_state_history | Time series of any numeric state field from the 15-minute archive — the trend view behind the snapshot. |
get_volume_profile | Volume-profile levels per UTC day from the consolidated tape: POC, value area high/low, value-area width and its rank, a multi-day composite and naked POCs. "Is price inside yesterday's value area?" |
get_big_trades | Large aggressive orders (fills sharing venue, side and timestamp summed into one trade): per-side totals plus the biggest prints with venue, price and USD size. "Were the whale market orders buying or selling?" |
get_footprint_events | Order-book wall events from the 1-minute footprint: absorbed and pulled walls with peak, executed and closing size in USD, plus thin-book minutes. "Were bid walls pulled before this drop?" |
get_stacked_imbalances | Stacked footprint imbalances from the consolidated tape: diagonal buy and sell runs per candle (1m…1h) with price band and USD size. "Where did aggressive buyers stack up on BTC this morning?" |
Data: funding rates, open interest, cumulative volume delta (CVD), order-book depth, liquidations, OHLCV candles with per-candle delta, volume-profile levels, large aggressive orders, order-book wall events, stacked footprint imbalances.
Honesty model: every metric carries a coverage entry (venues, window
depth, freshness); thin history answers with disclosed depth instead of
made-up numbers; conditional outcomes go history_silent below the evidence
floor; every response self-declares its age. Reports history, not predictions.
Claude (web/desktop): Settings → Connectors → Add custom connector →
https://api.markettrace.ai/mcp → authorize (email magic link).
Every client signs in the same way: it opens a browser, you enter your email, and a sign-in link arrives. Open it on the same device and in the same browser where you started.
Claude Code (adding the server does not sign you in, so run both):
claude mcp add --transport http markettrace https://api.markettrace.ai/mcp
claude mcp login markettrace
Codex:
codex mcp add markettrace --url https://api.markettrace.ai/mcp
codex mcp login markettrace
Cursor: add this to ~/.cursor/mcp.json (or use Add to Cursor on
https://markettrace.ai/agents) and sign in when Cursor asks:
{
"mcpServers": {
"markettrace": { "url": "https://api.markettrace.ai/mcp" }
}
}
Stdio-only clients (via the standard OAuth-capable bridge):
npx -y mcp-remote https://api.markettrace.ai/mcp
More client configs in examples/mcp-configs.md.
mcp_server.py is a zero-dependency stdio bridge: it starts
and answers introspection (initialize, tools/list) with no credentials —
the bundled tools.json is a snapshot of the hosted server's
own contract. Tool calls are proxied to the hosted endpoint when
MARKETTRACE_BEARER is set; without it they return a pointer to the hosted
OAuth endpoint instead of data. It holds no methodology — just a client.
Refresh the contract: tools.json is a {version, generated_at, tools} snapshot of the live server's tools/list — regenerate it by capturing that response and stamping the current contract version (mirrors feed.version in get_market_state).
python3 mcp_server.py # Python 3.9+, no dependencies
Or with Docker:
docker build -t markettrace-bridge . && docker run -i markettrace-bridge
Informational market data only — not financial advice. Privacy Policy · Terms of Service · Contact: support@markettrace.ai
The bridge in this repo is MIT-licensed (LICENSE); the hosted service is governed by the Terms above.