MarketTrace Crypto MCP

ai.markettrace由 markettrace.ai 发布官方发布者v1.11.0更新于 Oct 24, 2026

Crypto perps for AI agents: funding, OI, liquidations, order book, CVD, volume profile, footprint.

已验证Streamable HTTP可网页运行数据库金融数据与分析

概览

AI 生成的概览

只读的加密货币永续合约行情服务器,让助手获取跨交易所归一化的资金费率、持仓量、爆仓、订单簿与成交量数据。

可以做什么
获取归一化市场快照,含资金费率百分位、持仓量、成交量、CVD、订单簿失衡、爆仓与基差,以及资金费率百分位和近期多空爆仓金额。获取跨交易所合并的 OHLCV K 线(含每根 K 线的主动买卖差)以及归档中任意数值状态字段的时间序列。获取成交量分布价位(POC、价值区、未测试 POC)、大额主动成交和订单簿挂单墙事件。查询堆叠足迹失衡,以及给定条件之后的历史前瞻收益统计。阅读内置帮助指南,了解工具、标的、刻度与限制。
适用场景
适合助手回答有关加密永续合约持仓拥挤度、资金费率极值、爆仓流向、订单簿结构或历史基准概率的问题,覆盖 Binance、Bybit、OKX 与 Hyperliquid。适用于分析与研究而非交易执行,因为它只报告历史与事实,不做预测。
运行要求
远程 Streamable HTTP 端点,通过邮件魔法链接进行 OAuth 登录,无需 API 密钥。仅支持 stdio 的客户端需要具备 OAuth 能力的桥接工具(如 mcp-remote)。可选的本地桥接需要 Python 3.9+(或 Docker),调用工具时需提供 MARKETTRACE_BEARER 凭据。
安装前请注意
登录通过 OAuth 邮件魔法链接完成,链接需在发起登录的同一设备与浏览器中打开。本地 stdio 桥接仅在设置 MARKETTRACE_BEARER 凭据后才返回数据,需谨慎保管该密钥。数据仅供参考,明确不构成投资建议。

安装

在 SourceWeft 中

  1. 打开 控制台中的 MarketTrace Crypto MCP,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.markettrace%2Fagent-feed/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "markettrace-crypto": {
      "type": "http",
      "url": "https://api.markettrace.ai/mcp"
    }
  }
}

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.

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

9 assets (BTC, ETH, SOL, BNB, XRP, DOGE, HYPE, ZEC, ENA) across Binance, Bybit, OKX, Hyperliquid:

ToolWhat it answers
get_market_stateOne normalized snapshot: funding + its trailing 2-year percentile, OI, volume, CVD, order-book imbalance, liquidations, basis, drivers. "Is ETH positioning stretched?"
get_funding_percentileCurrent funding ranked against its own trailing 2-year window (0–100) + same-sign streak.
get_liquidations_recentCross-exchange liquidation notional estimates for a window: USD, long/short split.
get_ohlcvConsolidated cross-exchange candles (5m…1d) with per-candle delta (taker buy − taker sell), for ATR, ranges, CVD and RV math.
get_conditional_outcomesMeasured forward-return history after a stated condition — base rates instead of folklore. "What happened historically after funding above the 90th percentile?"
get_state_historyTime series of any numeric state field from the 15-minute archive — the trend view behind the snapshot.
get_volume_profileVolume-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_tradesLarge 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_eventsOrder-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_imbalancesStacked 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?"
helpA guide to the server itself: every tool grouped by the question it answers, a working example call for each, the symbols, how to read the scales, the limits, and where data without its own tool lives (open interest, CVD, funding rate). "Which tool gives me open interest?"

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.

Connect

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):

bash
claude mcp add --transport http markettrace https://api.markettrace.ai/mcpclaude mcp login markettrace

Codex:

bash
codex mcp add markettrace --url https://api.markettrace.ai/mcpcodex 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:

json
{  "mcpServers": {    "markettrace": { "url": "https://api.markettrace.ai/mcp" }  }}

Stdio-only clients (via the standard OAuth-capable bridge):

bash
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).

bash
python3 mcp_server.py            # Python 3.9+, no dependencies

Or with Docker:

bash
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?"
  • "Where are the key volume levels on BTC — any untested POCs nearby?"
  • "Did a large resting order get absorbed on SOL in the last hour?"

Terms

Informational market data only — not financial advice. Privacy Policy · Terms of Service · Contact: [email protected]

The bridge in this repo is MIT-licensed (LICENSE); the hosted service is governed by the Terms above.

来源:README.md,提交 8d785eb

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

5
  1. v1.11.0最新Oct 16, 2026
  2. v1.9.0Oct 6, 2026
  3. v1.8.0Oct 6, 2026
  4. v1.6.0Sep 27, 2026
  5. v1.5.0Sep 16, 2026

评分

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