Server data from the Official MCP Registry
Crypto perps data for AI agents: funding rates, open interest, liquidations, order book, CVD.
About
Crypto perps data for AI agents: funding rates, open interest, liquidations, order book, CVD.
Remote endpoints: streamable-http: https://api.markettrace.ai/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-markettrace-agent-feed": {
"url": "https://api.markettrace.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
MarketTrace agent-feed
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.
- Hosted MCP:
https://api.markettrace.ai/mcp(Streamable HTTP, OAuth — no API keys) - Official registry:
ai.markettrace/agent-feed - Docs: https://markettrace.ai/agents
This 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.
What it serves
6 assets (BTC, ETH, SOL, BNB, XRP, DOGE) across Binance, Bybit, OKX, Hyperliquid:
| Tool | What it answers |
|---|---|
get_market_state | One normalized snapshot: funding + multi-year percentile, OI, volume, CVD, order-book imbalance, liquidations, basis, drivers. "Is ETH positioning stretched?" |
get_funding_percentile | Current funding ranked against its own multi-year history (0–100) + same-sign streak. |
get_liquidations_recent | Cross-exchange liquidation totals for a window: USD, long/short split. |
get_ohlcv | Consolidated cross-exchange candles (5m…1d) for ATR/range/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. |
Data: funding rates, open interest, cumulative volume delta (CVD), order-book depth, liquidations, OHLCV candles.
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.
Connect
Claude (web/desktop): Settings → Connectors → Add custom connector →
https://api.markettrace.ai/mcp → authorize (email magic link).
Claude Code:
claude mcp add --transport http markettrace 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.
Local stdio bridge (this repo)
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
Things to ask
- "What's the market state for BTC — is positioning stretched?"
- "What happened historically after funding above the 90th percentile?"
- "How did open interest build over the last 3 days?"
- "How much got liquidated on ETH in the last hour — longs or shorts?"
Terms
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.
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