Context7
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作者による説明(英語の原文)
Stock research memory for Claude: theses, sourced claims and SEC filing alerts in a local graph
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
TORUS_HOME, TORUS_TOOLSET, TORUS_CAPTURE_MODE必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"torus": {
"command": "uvx",
"args": [
"torus-kg",
"serve"
],
"env": {
"TORUS_HOME": "your-value",
"TORUS_TOOLSET": "your-value",
"TORUS_CAPTURE_MODE": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add torus --env TORUS_HOME=your-value --env TORUS_TOOLSET=your-value --env TORUS_CAPTURE_MODE=your-value -- uvx torus-kg serve動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"torus": {
"command": "uvx",
"args": [
"torus-kg",
"serve"
],
"env": {
"TORUS_HOME": "your-value",
"TORUS_TOOLSET": "your-value",
"TORUS_CAPTURE_MODE": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"torus": {
"type": "stdio",
"command": "uvx",
"args": [
"torus-kg",
"serve"
],
"env": {
"TORUS_HOME": "your-value",
"TORUS_TOOLSET": "your-value",
"TORUS_CAPTURE_MODE": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
TORUS_HOME envTORUS_TOOLSET envTORUS_CAPTURE_MODE envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント sekhar14 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.4.1)がレジストリに届いたのは14 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Context7, Codebase Memory, Exa
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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:
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.
~/.torus (override with TORUS_HOME).*Torus is a research memory, not financial advice.* See CHANGELOG.md for what's in each release.
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 Desktop | Codex (desktop app and CLI) | Claude Code | |
|---|---|---|---|
| Prior research recalled before Claude answers | Yes (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 researching | Yes (live capture) | Yes (live capture) | Yes (balanced capture, curator fills gaps) |
| "Torus recorded ..." receipt after each turn | Yes | Yes | Yes |
| Workflows: onboard, review alerts, challenge, memo... | Prompts in the "+" menu | Torus skills | /torus: commands |
| Filing and news alerts, audit, scorecard, memos, explorer | Yes | Yes | Yes |
| Desktop notifications and the digest (they come from the watchers, not the app) | Yes | Yes | Yes |
| Background Haiku subagents (mapper, curator, challenger) | No: the same steps run in the chat | No: the same steps run in the chat | Yes |
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].
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 Torus | With Torus |
|---|---|
| Every session re-reads the same filings and rediscovers the same facts | Each 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 from | Every 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 view | Impact analysis follows supplier and customer links and raises an alert on that thesis |
| Every routine filing pings you, so you stop looking | Alerts 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 buried | Torus lists the new, dropped and reworded risk-factor sentences since the last filing |
| Old conclusions get overwritten, and wrong ones linger | Every change is versioned; the audit flags what's stale or thinly sourced; undo keeps history |
| Dead ends get explored again | Ruled-out ideas are recalled alongside the theses |
| Nobody checks whether high-conviction calls were actually right | The scorecard tracks each thesis against its stock and measures your calibration |
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:
| Mode | What Claude records while researching | The curator (Haiku) records later |
|---|---|---|
balanced (default) | theses, key claims with sources, ideas ruled out | supporting claims, extra sources, links |
live | everything | anything missed |
curator | theses and ideas ruled out | everything 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.
You don't need to remember commands; ask in plain words and Claude uses the right Torus tools.
| You say | What 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 |
| Command | What it does |
|---|---|
/torus:onboard | Start covering companies: watch them, seed starter packs, map their links from 10-Ks |
/torus:status | Theses at risk, open alerts, recent changes, graph health |
/torus:review | Judge open alerts: did the event support, weaken or break the thesis? |
/torus:ingest | Read a filing, transcript, PDF or page into sourced claims; or what changed since the last filing |
/torus:whatif | Which theses would a hypothetical event reach, and how? Records nothing |
/torus:challenge | A devil's-advocate subagent stress-tests a thesis and proposes risks and triggers |
/torus:audit | Find expired, thinly sourced or conflicting research and theses past their horizon |
/torus:scorecard | How your theses did against a benchmark, and whether your confidence is calibrated |
/torus:memo | Write a thesis up as a sourced memo (Markdown and HTML) |
/torus:undo | See what recent sessions recorded and revert any of it |
/torus:distill | Have the Haiku curator add past sessions' findings to the graph |
/torus:explore | Open 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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