Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Crypto perps for AI agents: funding, OI, liquidations, order book, CVD, volume profile, footprint.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://api.markettrace.ai/mcp在终端中运行这条命令
claude mcp add --transport http agent-feed https://api.markettrace.ai/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"agent-feed": {
"url": "https://api.markettrace.ai/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"agent-feed": {
"type": "http",
"url": "https://api.markettrace.ai/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://api.markettrace.ai/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 markettrace.ai 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.11.0)于21天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Fomu MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Kenya government form guides: checklists, draft letters, eCitizen, Huduma, timelines. Sample data.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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?"* |
help | A 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.
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.