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。
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Valuein — SEC EDGAR Fundamentals & Smart-Money Data

作者:valuein版本 3.17.0i★ –i在云端运行
注册名称io.github.valuein/mcp-sec-edgar

安装

概览

作者提供的说明(英文原文)

Point-in-time, survivorship-free SEC EDGAR fundamentals + smart-money signals for AI agents.

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.valuein.biz/mcp

在终端中运行这条命令

claude mcp add --transport http sec-edgar https://mcp.valuein.biz/mcp

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": {
    "sec-edgar": {
      "url": "https://mcp.valuein.biz/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。

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": {
    "sec-edgar": {
      "type": "http",
      "url": "https://mcp.valuein.biz/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:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.valuein.biz/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。

它能做什么

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。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 valuein 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 438 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32686 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32686 个服务器的 100% 更新
  • 基础检查结果等于或优于此分类中其他 32686 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

Valuein — SEC EDGAR Fundamentals & Smart-Money Data 安全吗?

它在 2 项适用的基础检查中通过了 2 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?

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(3.17.0)于今天进入注册中心。

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:Spec Driven Development, Remote Desktop Commander, Microsoft Exchange Online MCP

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:★ 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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Exchange Online admin for MSPs: forwarding audits, EWS posture and offboarding, no PowerShell

在你的电脑上运行今天更新
安装

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。

Valuein — SEC EDGAR fundamentals for analysts, quants, and AI agents

Point-in-time, survivorship-free SEC fundamentals — built for AI agents, safe enough for institutions that fear AI. Every number is born in a filing and carries a fact_id; the model never mints a digit. Streamed as Parquet, queried with DuckDB or natural language, reproducible run to run.

This repository is the public home and discovery hub for the Valuein data platform. It hosts the documentation, examples, notebooks, and the MCP registry manifest used by AI agents to find us. Source code for the SDK, MCP server, and data pipeline lives in dedicated repositories — this is the front door.

pip install "valuein-sdk>=7.1.0" # data for code

or add this URL to any MCP-capable AI client:

https://mcp.valuein.biz/mcp # data for agents


What's in here

You want to…Go to
Try the SDK in 30 seconds without a tokenQuickstart
See every channel we ship throughDistribution channels
Check pricing and what each plan unlocksPlans & access
See why AI agents are first-class citizens hereBuilt for AI agents
Connect an AI agent (Claude, Copilot, ChatGPT, Cursor…)MCP for AI agents
Set up the Workspace by role (analyst, PM, quant, creator)docs/WORKSPACE_GUIDE.md
Read the data modelData model
Find a quick recipe by roleRecipes by role
Run end-to-end Python examplesexamples/python/
Run interactive notebooks (Colab)examples/notebooks/
Read the methodology / SLA / complianceDocumentation
Report a data error or request a featureSupport & community
Contribute an example or notebookCONTRIBUTING.md

The data product

Survivorship-bias-free, point-in-time US fundamentals sourced directly from SEC EDGAR.

  • Every SEC-reporting US public company since 1993 — 10-K, 10-Q, 8-K, 20-F, 40-F, and amendments, for active and delisted companies alike: every bankruptcy, merger, and delisting stays in
  • Raw XBRL tags normalized to canonical `standard_concept` names plus materialized financial ratios (FY + TTM); unmapped tags are exposed under 'Other' rather than dropped
  • Parquet tables — fundamentals, ratios, index membership, restatement events, price history with a total-return index, plus the smart-money and Form ADV adviser tables on the Institutional tier
  • Cloud Parquet on Cloudflare R2 — stream with DuckDB; no database setup, no local downloads
  • PIT-correct — every fact carries filing_date and millisecond-precision accepted_at

Counts move with every snapshot, so this page does not copy them; read them live. client.manifest() returns the snapshot id, last_updated and your plan's tables; curl -s https://data.valuein.biz/v1/sample/manifest.json | jq .schema_version prints the live schema version; https://data.valuein.biz/v1/plans gives each plan's universe size and history window; docs/data_catalog.md lists the canonical concepts and ratios.

Why it's different
PropertyWhat it means for you
🕒 Point-in-timefiling_date <= trade_date removes look-ahead bias. accepted_at gives intraday resolution for same-day signals.
⚖️ Survivorship-bias freeDelisted, bankrupt, and acquired companies remain in every snapshot — your backtest sees the universe the market saw.
📊 Standardized conceptsBoth the raw XBRL tag (fact.concept) and the canonical name (fact.standard_concept) are on every row. No hidden mapping table.
🔍 CPA-verified catalogEvery standard_concept carries a review_confidence — 1.0 once an accountant has signed off on its name, statement and rule (then it's locked; the pipeline only ever adds new concepts, never mutates a verified one), 0.7 while provisional. Filter review_confidence >= 1.0 for the labels analysts, quants and AI models can agree on and train against.
🚀 DuckDB-nativeMillisecond analytics over remote Parquet via httpfs. Zero database provisioning.
🔁 Append-only restatementsA 10-K/A adds a new row — the original stays. Reconstruct the as-reported view of any historical date.
🧾 Measured, published accuracyMathematical consistency checked against published, cited accounting identities — CI-gated, and re-derivable yourself with one DuckDB command. The current measured figure lives in docs/accuracy/baseline.json.
🔐 One token, every channelThe same Bearer token authenticates the SDK, MCP server, and bulk-data API.

Built for AI agents

Valuein is MCP-first and agent-agnostic: the same typed tool surface works in Claude, Copilot, ChatGPT, Perplexity, Gemini, Grok, Cursor, or your own LangGraph / CrewAI agent. The design goal is simple — the model never mints a number. Numbers are born in tools, carried as provenance-tagged facts, and the model is only allowed to arrange words around figures it was handed.

GuaranteeHow it's enforced
Fact-level lineageEvery figure a tool returns carries a fact_id and its source filing; verify_fact_lineage round-trips any fact_id back to the exact SEC filing URL in one call.
Zero look-aheadEvery time-series tool accepts as_of_date and reconstructs the information set as of that date — the same PIT discipline the Parquet layer enforces for backtests.
Reproducible runsDeterministic, idempotent tools: same inputs, same output. No rolling windows, no hidden "latest". Agents can cache, retry, and replay; you can reproduce a run later.
Agent-agnostic stateTheses, claims, watchlists, signals, and reports persist server-side across sessions *and across clients* — save a thesis from Claude today, list it from Cursor tomorrow.
Human-on-the-loop (HOTL)Mutating and outward-facing tool actions go through a staged-action approval ledger: the agent proposes, a human approves, and the decision lands in an immutable audit entry. Read-only tools never stage.
Governed managed runsServer-side managed agent runs execute at temperature 0 with a model allow-list and destructive-tool stripping — reproducible research, not improvisation.
Graded track recordsSaved theses and claims are scored against subsequent fundamentals and prices; publishing builds a public, verifiable track record — your agent keeps score.

The full tool reference is in docs/MCP_TOOLS.md; agent-facing runtime instructions are in AGENTS.md.


Distribution channels

The same dataset, delivered four ways so it lands where you already work.

ChannelAudienceEndpoint / install
Python SDKQuants, engineers, data scientistspip install valuein-sdk · PyPI
MCP serverAI agents (Claude, Copilot, ChatGPT, Cursor, custom)https://mcp.valuein.biz/mcp · server.json
Web dashboardRetail, executives, non-technical usersvaluein.biz
Bulk data APIB2B partners, fintech platformshttps://data.valuein.biz · contact us

A single Stripe-issued token unlocks every channel at your tier — no per-channel billing.


Plans & access

Pricing and feature scope are mirrored from valuein.biz/pricing — the website is the source of truth and our checkout flow routes to the correct Stripe product.

PlanUniverseHistoryGet it
SampleEvery S&P 500 member since 1996, former members included5 calendar years + YTDFree, no signup: pip install "valuein-sdk>=7.1.0"
BenchmarkEvery S&P 500 member since 1996, former members includedFull historyFree, register
ProFull active + delisted universe incl. foreign issuers (20-F, 40-F), fundamentals datasetRolling point-in-time windowSubscribe
InstitutionalSame universe + smart-money dataset (insider transactions on Forms 3/4/5/144 + institutional ownership on Forms 13F/13D/13G)Full history back to 1993Subscribe
EnterpriseOrganisations and teams, by Enterprise Agreement: the whole dataset, multi-seat · display in your own products and client deliverables, with attribution, where the Order Form says so · dedicated infrastructure · negotiated scopeCustomsales@valuein.biz

Redistribution, resale and white-label are not part of any plan, Enterprise included: data vendors and platforms sign a separate Redistribution Licence (sales@valuein.biz).

Prices, universe sizes, history windows and rate limits are served live; read them instead of a copy:

curl -s https://data.valuein.biz/v1/plans \

| jq '.plans[] | {displayName, priceUsd, universeSize, earliestYear, perMinute, perHour}'

Each tier removes a *different* buyer objection — Pro removes the universe + history limits on the fundamentals dataset; Institutional adds the smart-money dataset (insider transactions + institutional ownership), unlimited history back to 1993, filing-event webhooks, and a single-seat internal-use licence (no redistribution); Enterprise is for organisations and teams: an Enterprise Agreement for multi-seat use and, where the Order Form says so, display in your own products and client deliverables with attribution, plus dedicated infrastructure, service levels and bespoke contracts. Redistribution, resale and white-label need a separate Redistribution Licence, which no plan includes.

How you pay: three parts, no run limits

Subscribe for the data. Pay only for the AI you use.

  1. Subscription = data. Your plan sets how much of the market you can see (companies, years of history, filing types, datasets), plus API rate limits, daily bulk downloads, webhooks, licence and support. Plans: Sample, Benchmark, Pro, Institutional, Enterprise.
  2. Balance = AI work. One balance pays for Valuein AI chat, agent runs and coverage reads. There are no run limits and no per-run fee: a run costs only the AI compute it uses. Every plan includes a monthly compute allowance, and new accounts start with a welcome credit. Using your own Anthropic or OpenAI key costs nothing on our side.
  3. Pay per call = AI agents without an account. An agent can pay per request by card (below).
Pay-per-call (MPP)

Autonomous AI agents that hit a rate or tier limit can pay per reque

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