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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Torus

作者:sekhar14版本 0.4.1i★ –i在你的电脑上运行
注册名称io.github.sekhar14/torus

安装

概览

作者提供的说明(英文原文)

Stock research memory for Claude: theses, sourced claims and SEC filing alerts in a local graph

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: TORUS_HOME, TORUS_TOOLSET, TORUS_CAPTURE_MODE

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "torus": {
      "command": "uvx",
      "args": [
        "torus-kg",
        "serve"
      ],
      "env": {
        "TORUS_HOME": "your-value",
        "TORUS_TOOLSET": "your-value",
        "TORUS_CAPTURE_MODE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add torus --env TORUS_HOME=your-value --env TORUS_TOOLSET=your-value --env TORUS_CAPTURE_MODE=your-value -- uvx torus-kg serve

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": {
    "torus": {
      "command": "uvx",
      "args": [
        "torus-kg",
        "serve"
      ],
      "env": {
        "TORUS_HOME": "your-value",
        "TORUS_TOOLSET": "your-value",
        "TORUS_CAPTURE_MODE": "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": {
    "torus": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "torus-kg",
        "serve"
      ],
      "env": {
        "TORUS_HOME": "your-value",
        "TORUS_TOOLSET": "your-value",
        "TORUS_CAPTURE_MODE": "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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • TORUS_HOME env
    Folder for the research graph and caches (default ~/.torus)
  • TORUS_TOOLSET env
    Which tools to expose: analyst hides queue and maintenance tools (default full)
  • TORUS_CAPTURE_MODE env
    How eagerly research is recorded

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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 sekhar14 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7271 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7271 个服务器的 72% 更新
  • 基础检查结果等于或优于此分类中其他 7271 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

Torus 安全吗?

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。

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?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.4.1)于15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。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
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。

Torus

Stock research memory for Claude Code, Claude Desktop and Codex. Torus gives Claude a memory for your equity research. Before it answers, Claude sees what you already know about a company: your theses, the sourced facts behind them, its suppliers, customers and competitors, and the ideas you ruled out. New research builds on the old, and every new fact is saved with its source. When a new SEC filing or news story threatens a thesis, Torus warns you: on your desktop as it happens, and in a daily or weekly digest by email, Slack, Discord or ntfy.

Ask Claude *"Is NVIDIA still supply-bound?"* and it starts from what you already concluded, not from scratch. Torus keeps:

  • the companies you cover and how they connect: suppliers, customers, competitors
  • claims about them, each tied to its source (a 10-K, an earnings call, an article)
  • your investment theses: bullish or bearish, the claims they rest on, and what would break them
  • ideas you ruled out, so you don't research them again

When a 10-K, 10-Q, 8-K or news item lands, Torus works out which of your theses it touches, through which supplier or customer link, and how much it matters. It also keeps the research honest (what's gone stale, what rests on one source, what a skeptic would say) and tracks how your calls did against the market.

Built for analysts, portfolio managers and serious individual investors.

  • Your model, your subscription. Torus never calls an LLM itself. Claude does the reasoning, and cheaper Haiku subagents do the bookkeeping.
  • Local-first. Your research stays in one SQLite file under ~/.torus (override with TORUS_HOME).
  • Time-aware. Every fact records when it was true and when you believed it, so you can ask what you thought on any past date. Nothing is deleted: corrections are new versions.

*Torus is a research memory, not financial advice.* See CHANGELOG.md for what's in each release.

Pick your app

Torus works in three apps. All of them share one graph on your machine, so you can research in one and pick up in another.

Claude DesktopCodex (desktop app and CLI)Claude Code
Prior research recalled before Claude answersYes (brief, prompted by the server's instructions)Yes (brief, prompted by the server's instructions)Yes, automatically on every prompt (hook)
Sources and claims recorded while researchingYes (live capture)Yes (live capture)Yes (balanced capture, curator fills gaps)
"Torus recorded ..." receipt after each turnYesYesYes
Workflows: onboard, review alerts, challenge, memo...Prompts in the "+" menuTorus skills/torus: commands
Filing and news alerts, audit, scorecard, memos, explorerYesYesYes
Desktop notifications and the digest (they come from the watchers, not the app)YesYesYes
Background Haiku subagents (mapper, curator, challenger)No: the same steps run in the chatNo: the same steps run in the chatYes

Claude Desktop

pip install torus-kg

torus setup

The package is called torus-kg on PyPI; the command it installs is torus. torus setup asks for the email the SEC requires, downloads the SEC ticker list, adds Torus to Claude Desktop's settings (it keeps a .bak copy and leaves your other servers alone), and schedules the filing watchers. Restart Claude Desktop, then try the Onboard companies prompt from the "+" menu with a few tickers.

Codex

The same two commands. torus setup adds [mcp_servers.torus] to ~/.codex/config.toml (or $CODEX_HOME) and installs the Torus skills (torus-research, torus-onboard, torus-review and so on) under ~/.codex/skills. If you already wrote a [mcp_servers.torus] entry yourself, setup leaves it as it is. Restart Codex, then ask it to onboard your tickers.

Claude Code

See Getting started below. torus setup also prints the two /plugin commands.

torus setup configures the apps it finds; pass --claude-desktop or --codex to configure one anyway, or --no-codex / --no-claude-desktop to skip one. torus doctor checks each app's entry and that the server starts, and torus doctor --fix repairs what it can.

Just looking? torus demo builds a small sample graph (NVIDIA, TSMC, Micron and AMD theses, an alert from a TSMC filing, the semis starter pack) in its own folder, TORUS_HOME/demo, and opens it in the explorer. Your own graph is untouched, and every piece of sample research is marked [demo].

How it works

Why this helps. Research done in chat is usually thrown away: the next session starts from scratch, and nothing connects new information to what you already concluded. Torus keeps the working parts of the research, not just the final report:

Without TorusWith Torus
Every session re-reads the same filings and rediscovers the same factsEach session starts from earlier theses, claims and ruled-out ideas
A new tool starts empty, so it's useless for weeks/torus:onboard maps your companies' suppliers, customers and competitors from their 10-Ks in minutes
A report says "TSMC capacity is the constraint", but not where that came fromEvery claim links to its source, with a verbatim quote, a confidence and the date it was true
A TSMC filing arrives and nobody notices that it undermines your NVIDIA viewImpact analysis follows supplier and customer links and raises an alert on that thesis
Every routine filing pings you, so you stop lookingAlerts weigh what kind of event it is and whether it matches what you said would break the thesis
The changes in a 150-page 10-K are buriedTorus lists the new, dropped and reworded risk-factor sentences since the last filing
Old conclusions get overwritten, and wrong ones lingerEvery change is versioned; the audit flags what's stale or thinly sourced; undo keeps history
Dead ends get explored againRuled-out ideas are recalled alongside the theses
Nobody checks whether high-conviction calls were actually rightThe scorecard tracks each thesis against its stock and measures your calibration

Getting started (about 5 minutes)

You need Python 3.11+ and Claude Code.

1. Install the `torus` command. The plugin's hooks and MCP server run it, so this step is required:

pip install torus-kg

2. Set it up:

torus init --refresh-reference --contact you@example.com   # SEC ticker list (the SEC asks for an email)

torus config set sec_contact you@example.com # used when reading and watching filings torus doctor # check that everything is in order

3. Add the plugin in Claude Code:

/plugin marketplace add sekhar14/torus

/plugin install torus@torus

You'll be asked for a capture mode:

ModeWhat Claude records while researchingThe curator (Haiku) records later
balanced (default)theses, key claims with sources, ideas ruled outsupporting claims, extra sources, links
liveeverythinganything missed
curatortheses and ideas ruled outeverything else

4. Tell Torus what you cover (recommended). In Claude Code:

/torus:onboard NVDA AMD TSM AVGO

or from a portfolio or watchlist export: torus onboard --file portfolio.csv (any CSV with a ticker or symbol column), then /torus:onboard to finish the mapping. Torus adds the companies, watches their SEC filings, suggests matching starter packs, and a Haiku subagent maps each company's suppliers, customers, competitors and customer concentration from its latest annual report, citing the filing.

5. Keep the watchers running:

torus schedule install    # checks filings, news and prices every hour

This uses Task Scheduler on Windows, launchd on macOS and cron on Linux.

6. Research as usual, e.g. *"Is NVIDIA still supply-bound? Check TSMC's CoWoS plans."* The next time you mention NVIDIA, Claude sees the earlier thesis, claims and ruled-out ideas before it starts. After each turn Torus tells you what it recorded (*"Torus recorded 1 thesis, 3 claims and 2 sources this turn"*), and /torus:undo reverts anything you don't want.

What you can ask

You don't need to remember commands; ask in plain words and Claude uses the right Torus tools.

You sayWhat happens
"Is NVIDIA still supply-bound?"Claude starts from your earlier NVIDIA research, then records new claims, sources and the updated thesis
"What changed in TSMC's latest 20-F risk factors?"Torus lists the new, dropped and reworded sentences against last year's filing
"Add this earnings call transcript to Torus"The transcript becomes sourced claims linked to the theses it bears on
"Any news that affects my theses?"Open alerts, each with the path that explains it, judged one thesis at a time
"What happened this week?"The digest: new alerts by thesis, status and confidence changes, theses coming due, scorecard moves
"What happens to my theses if TSMC's Arizona fab is delayed a year?"Every thesis the event would reach, through which links, and the likely direction
"Poke holes in my Micron thesis"A skeptic subagent researches the counter-case; you approve any risks it proposes
"Is my research still current?"The audit: expired assumptions, theses past their horizon, single-source claims, conflicts
"How have my calls done?"Returns against SPY in each thesis's direction, outcomes, and how calibrated your confidence is
"Write up my NVIDIA thesis to share"A memo with every claim traced to its source
"Undo what you just recorded about AMD"Those records are retracted or archived; history keeps them

Commands in Claude Code

CommandWhat it does
/torus:onboardStart covering companies: watch them, seed starter packs, map their links from 10-Ks
/torus:statusTheses at risk, open alerts, recent changes, graph health
/torus:reviewJudge open alerts: did the event support, weaken or break the thesis?
/torus:ingestRead a filing, transcript, PDF or page into sourced claims; or what changed since the last filing
/torus:whatifWhich theses would a hypothetical event reach, and how? Records nothing
/torus:challengeA devil's-advocate subagent stress-tests a thesis and proposes risks and triggers
/torus:auditFind expired, thinly sourced or conflicting research and theses past their horizon
/torus:scorecardHow your theses did against a benchmark, and whether your confidence is calibrated
/torus:memoWrite a thesis up as a sourced memo (Markdown and HTML)
/torus:undoSee what recent sessions recorded and revert any of it
/torus:distillHave the Haiku curator add past sessions' findings to the graph
/torus:exploreOpen the visual graph explorer

Behind them, the MCP server gives Claude 45 tools, from brief, recall and record_claim to filing_diff, whatif, digest and scorecard. Claude Desktop and Codex see 33 of them by default (the analyst toolset): the queue and low-level graph tools are hidden. Se

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