原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

FinzData market data

作者:finzdata版本 1.0.0i★ –i在云端运行
注册名称io.github.FinzData/finzdata-mcp

安装

概览

作者提供的说明(英文原文)

US stocks incl. delisted, futures, CPI/macro vintages, point-in-time GEX, 13F, COT, backtests.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 会计、财务与税务
  • 你需要填写:X-API-Key

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

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 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http finzdata https://api.finzdata.com/mcp --header 'X-API-Key: your-value'

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "finzdata": {
      "url": "https://api.finzdata.com/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "finzdata": {
      "type": "http",
      "url": "https://api.finzdata.com/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

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。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • X-API-Key 机密 HTTP header
    Free key from https://finzdata.com/signup

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。

它能做什么

工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • search_datasets

    Full-text search over the dataset catalog. Returns matching dataset ids and descriptions. Free of look-ahead concerns; no as_of needed.

  • describe_dataset

    Returns the schema, coverage and field definitions of one dataset. Raises not_found for an unknown dataset id.

  • get_universe

    Returns every US symbol that was trading on as_of, including companies that later delisted (survivorship-free). index='top500'|'top1000'|'top3000' instead returns the most-traded names priced at least $5 that day, ranked by 63-day dollar volume (a point-in-time large-cap proxy, n

  • get_bars

    Returns daily OHLCV bars for symbols between start and end, clipped to as_of (default today) so no future data leaks. Max 5000 rows per page; use next_cursor for more.

  • backtest_export

    Daily OHLCV bars for one symbol packaged as ready-to-load files for an open-source backtester or trading framework: backtrader, backtesting_py, vectorbt, zipline (csvdir bundle), lean (QuantConnect LEAN, base64 zip), nautilus, freqtrade or qlib. Returns files (path, encoding, con

  • get_fundamentals_pit

    Returns fundamentals for one symbol as known on as_of (no restatements from the future). as_of defaults to today.

  • get_macro_vintage

    Returns a macro series as it was actually published by as_of (vintage data, no revisions from the future). Optional start.

  • get_quant_model

    The FinzData Quantitative Model as known on as_of: macro regime labels (financial conditions direction, financial risk direction, growth level and direction, inflation direction, macro quadrant GOLDILOCKS/REFLATION/STAGFLATION/SLOWDOWN, liquidity and credit), the growth/inflation

  • get_cot

    Returns CFTC Commitments of Traders rows for a market between start and end, clipped to as_of. Max 5000 rows per page.

  • get_gex

    Point-in-time dealer gamma exposure for US stocks and ETFs, one row per ticker per session, each stamped with knowledge_time (17:00 New York on the session date). Columns: spot, net_gex_bn (dealer net gamma, $bn per 1% move; >0 dealers long gamma, <0 short), call_gex_bn, put_gex_

  • get_political_spending

    US election money, cleaned and rolled up (FEC + state and city filings; 2026 cycle plus 2022 and 2018). table: races (per House/Senate race: candidate receipts, outside spending for/against), candidates, donor_geo (donations by city/state/division/region), race_geo, flows (donor

  • get_13f

    Returns 13F holdings matching a query as known on as_of (default today); filings after as_of are hidden.

  • get_events

    Returns events of one kind between start and end (YYYY-MM-DD), clipped to as_of. kind='earnings' (company report dates, symbol and timing) or kind='macro' (economic releases such as CPI, payrolls, FOMC). Max 5000 rows per page.

  • run_backtest

    Runs a deterministic backtest from a JSON spec (universe, start, end, signal, rebalance, top_n, costs_bps, side='long'|'long_short', blind=true to hide tickers). universe: a list of symbols, or 'top500'|'top1000'|'top3000'|'all' for the liquid US market (each month the N most-tra

  • compare_runs

    Returns a table (run_id, cagr, sharpe, max_drawdown, turnover, final_equity) for previously run backtests in this session. Unknown run_id -> not_found.

  • publish_strategy

    Runs a backtest spec (same format as run_backtest) on the server and publishes it to the FinzData Hub as a public, reproducible strategy page at data.finzdata.com/s/ , forward-tracked daily from today. Only server-computed results are stored. Costs one backtest; free accounts may

  • fork_strategy

    Copies a published Hub strategy, applies `changes` (nested fields merged, e.g. {"signal": {"lookback": 126}}), re-runs it on the server and publishes the fork linked to its parent. Costs one backtest.

  • list_strategies

    Lists public FinzData Hub strategies. sort: robust (deflated Sharpe), forward (forward Sharpe, 63+ days of out-of-sample record), new, forks. Optional family (momentum, expr, ma_cross, factor).

  • get_strategy

    Returns one public Hub strategy: spec, server-computed backtest result, forward-tracking record and fork lineage.

  • star_strategy

    Stars (or with unstar=true removes your star from) a public Hub strategy. Stars feed the Trending list; rankings stay on deflated Sharpe and forward record.

  • comment_strategy

    Posts a public comment (1-2000 characters) on a Hub strategy, e.g. a question, a result from a fork or a suggested change. Comments are shown under your handle.

  • survivorship_audit

    Runs your backtest spec twice: once on the point-in-time universe (delisted companies included while they traded, the honest result) and once on only the names still trading today (what a backtest on a current ticker list does). Returns both stats and the inflation in CAGR and Sh

  • get_futures

    Daily OHLCV and open interest for 139 futures markets (CME, CBOT, NYMEX, COMEX, ICE, Eurex, Cboe): every individual contract since 2007 plus continuous back-adjusted series. Give root (ES, NQ, YM, RTY, CL, GC, SI, NG, ZN, ZB, VX, 6E ...; a leading '/' is fine) for the continuous

  • get_futures_rolls

    Roll calendar for all 139 futures markets since 2007: for each front-month contract its first and last date as front month, expiry, the next contract, the roll date, trading days before expiry, and the back-adjustment added to its prices in the continuous series (adjusted = raw +

  • get_crypto

    OHLCV bars for 74 crypto pairs (BTC-USD since 2013, ETH-USD since 2016, SOL-USD, XRP-USD, DOGE-USD, TON-USD, SUI-USD, HYPE-USD, BTC-EUR, ETH-BTC and more). interval: 1min, 5min, 1hour or 1day (default). Clipped to as_of. Free keys get daily bars for the last 12 months.

  • get_fx

    OHLC bars for 79 currency pairs (EURUSD, USDJPY, GBPUSD, AUDUSD, USDCAD, USDCHF, NZDUSD, EURJPY, USDCNH, USDMXN, USDINR, USDBRL, USDTRY, USDZAR and more) since January 2010. interval: 1min, 5min, 15min, 30min, 1hour or 1day (default). Times are US Eastern. Clipped to as_of. Free

  • get_index

    OHLC bars for 123 indexes: S&P 500 (SPX), Nasdaq-100 (NDX), Dow (DJI), Russell 2000 (RUT), VIX and its term structure (VIX9D, VIX3M, VIX6M, VIX1Y, VVIX, SKEW), sector and style indexes, DAX, AEX, the dollar index (DXY), Treasury yield indexes (TNX, FVX, TYX) and more. interval: 1

  • get_ticks

    FinzData Ticks: every US trade print (time in UTC nanoseconds and ISO, price, size, exchange, condition codes) for 1,100+ US stocks and ETFs over the last 5 years. Give symbol and day (YYYY-MM-DD); optional start/end times (HH:MM, US Eastern) narrow the window; omit day to list t

  • get_global_pulse

    FinzData Global Macro Pulse: real-world activity that leads the official statistics. dataset: chokepoints (daily ship transits through Suez, Panama, Hormuz, Malacca and 24 more since 2019), ports (daily port calls and estimated imports/exports for 2,000+ ports since 2019), port_c

  • translate_stockcharts_scan

    Translates a StockCharts.com scan (e.g. '[type = stock] and [daily close > daily sma(50,daily close)] and [rsi(14) < 70] rank by [ROC(20)]') into a FinzData signal formula and a ready-to-run backtest spec. Returns expr, universe, notes, and any clauses not yet supported (never gu

  • backtest_stockcharts_scan

    Backtests a StockCharts.com scan on point-in-time US stocks since 2000, delisted names included: each rebalance (weekly by default) holds the stocks that pass the scan, equally weighted up to top_n, 10 bps costs. Optional symbols (e.g. a ChartList) restricts the universe. Returns

  • register_strategy

    Register a new strategy signal. The strategy is scored ONLY on data after registration, the record can never be edited or deleted, ranking starts at 63 trading sessions, and FinzData never trades on submitted signals.

  • get_verified_record

    Retrieve a verified strategy record by its ID.

  • verified_board

    Get the leaderboard of verified strategies.

  • verify_chain

    Anyone can check no record was edited or back-dated.

  • retire_strategy

    Retire one of your verified strategy records: it stops accruing new forward results, keeps its full history and stays public on the Verified board marked retired.

  • search_mcp_servers

    finds financial MCP servers graded nightly by FinzData for health, protocol conformance and prompt-injection risk; results include install URLs.

  • get_mcp_server

    retrieves a financial MCP server listing with tools, probe history, issues and verified-data status.

  • claim_mcp_server

    claims a listing for the calling API key so its owner can enable price-accuracy checks; first claimant wins; contact info@finzdata.com to dispute.

基础检查i

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9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 finzdata 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 193 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 39 个工具描述,未发现针对 AI 的隐藏指令

与“会计、财务与税务”中的其他服务器比较i

  • 星标数多于此分类中其他 2953 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2953 个服务器的 62% 更新
  • 基础检查结果等于或优于此分类中其他 2953 个服务器的 100%

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。

常见问题

FinzData market data 安全吗?

它在 3 项适用的基础检查中通过了 3 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。

它需要哪些密钥或代码?

你需要填写:X-API-Key

它在我的电脑上运行还是在云端?

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。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于20天前进入注册中心。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:Finance Toolkit, SolidInvoice, Korea Tax Calculator

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

Finance Toolkit

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

作者:JerBouma广泛使用↓ 1.6万/周★ 5496前天更新

电脑或云端

SolidInvoice

Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.

作者:SolidInvoice正在增长★ 9819天前更新

在云端运行✓ solidinvoice.co

Korea Tax Calculator

Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.

作者:UpstageAI正在增长↓ 3172/周★ 97今天更新

在你的电脑上运行

作者的 README

打开 README

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。

FinzData MCP server

Research-grade US market data and server-side backtests for AI agents: Claude, ChatGPT, Gemini CLI, Cursor, Kimi, GLM and any MCP client.

Remote server: https://api.finzdata.com/mcp (Streamable HTTP, MCP 2026-07-28, accepts 2025-06-18 clients) Auth: OAuth 2.1 with PKCE (sign in with your FinzData API key), or the header Authorization: Bearer YOUR_API_KEY Free key: https://finzdata.com/signin · Pricing: https://finzdata.com/pricing · Agent docs: https://api.finzdata.com/agents.md

Coverage

Market data your backtests can trust. The whole market, remembered: every one of the 16,000+ US stocks that has traded on the NYSE and Nasdaq in the last 26+ years, delisted included, point in time. Around them: 139 futures markets with every contract since 2007, the VIX and Cboe volatility indexes with the VIX futures curve, options-market gamma for single stocks, ETFs and the major indexes, 231 ETFs, and crypto since 2015. Macro exactly as it was known: 18,000+ series including CPI, payrolls, wages, GDP and the Treasury yield curve, every vintage kept. Plus COT positioning since 1986. Bars at every resolution you backtest on: 1-minute, 5-minute, 15-minute, 30-minute, hourly and daily, with tick-level trades on the Institutional plan. In pandas with one line: pip install finzdata.

Why FinzData for agents

  • Survivorship-free. Universes include every company that traded on a date, delisted names included.
  • Point-in-time. Every data tool takes as_of, so answers contain only what was public that day: fundamentals as filed, and macro series as first published (ALFRED vintages).
  • Backtests run on the server. Describe a strategy and get back CAGR, volatility, Sharpe, drawdown, turnover, a benchmark, an equity curve, a reproducible run_id and a deflated Sharpe ratio that counts every variant you tried.

Tools (all read-only)

ToolWhat it returns
search_datasets / describe_datasetThe catalog, fields and coverage
get_universeEvery US symbol trading on a date, or the 500/1000/3000 most-traded
get_barsDaily and 1-minute OHLCV, split-adjusted
get_fundamentals_pitValuation and fundamentals as known on a date (P/E, EV/EBITDA, revenue, debt…)
get_macro_vintageFRED/ALFRED series exactly as published by a date
get_cotCFTC Commitments of Traders positioning
get_13fInstitutional holdings from 13F filings
get_eventsEarnings dates, splits and economic releases
run_backtestMomentum, MA cross, factor or formula strategies, long-only or long/short
compare_runsSeveral backtests side by side

Connect

Claude: add FinzData from the Claude connector directory, or add a custom connector with https://api.finzdata.com/mcp.

ChatGPT: add the FinzData app from the ChatGPT directory, or add a connector in developer mode with the URL above.

Gemini CLI:

export FINZDATA_API_KEY=your-key

gemini extensions install https://github.com/FinzData/finzdata-mcp

Cursor (.cursor/mcp.json), Windsurf, Cline, Kimi CLI, GLM / Z.ai coding tools and any client that takes a remote server:

{

"mcpServers": { "finzdata": { "url": "https://api.finzdata.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }

Clients that only run local (stdio) servers: pip install finzdata-mcp (or uvx finzdata-mcp) with FINZDATA_API_KEY set. See README.pypi.md.

Example prompts

  • "Backtest 12-1 momentum on the 500 most-traded US stocks since 2010, monthly, top 50, 10 bps costs."
  • "What was the US unemployment rate for March 2020 as first reported?"
  • "How are managed-money traders positioned in gold futures?"
  • "Which institutions hold the most NVIDIA shares in the latest 13F quarter?"

Plans

Free accounts cover the last 12 months, with 100 data calls and 5 backtests a day. Paid plans and prepaid credits ($0.001 per data call, $0.05 per backtest) unlock full history.

Data, not investment advice. Support: info@finzdata.com · https://finzdata.com/support · Privacy: https://finzdata.com/privacy

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