Boolsai Signals

ai.boolsai由 boolsai.ai 發布官方發布者v1.0.0更新於 Nov 10, 2026

Quant-research MCP — tradeable signals from public-company website stack changes. 7 tools.

發布方自己的服務：Boolsai Directory

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取金融資料與分析

服務詳細資訊

識別碼: ai.boolsai/signals
傳輸: Streamable HTTP
執行環境: Web executable
信任: Verified
發布於: Sep 16, 2026

安全提示

MCP 服務會接收對話中的工具呼叫請求，並可能執行外部操作。啟用前請先了解該服務能做什麼，並只授予它所需的權限。

註冊中心已驗證此服務的命名空間屬於 boolsai.ai，且該網域同時執行其端點。這可以確認發布者，但並不代表該服務的工具是安全的。

SourceWeft 的檢查只涵蓋條目是否完整、端點是否回應；不審查伺服器的程式碼，也不審查其工具的行為。

在 README 中新增徽章

向讀者展示該 MCP 服務已收錄於 SourceWeft，徽章連結到本頁。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/ai.boolsai%2Fsignals.svg)](https://sourceweft.com/mcp/ai.boolsai%2Fsignals?utm_source=readme&utm_medium=badge)

概覽

AI 產生的概覽

讓助理查詢以上市公司網站技術堆疊變化為基礎的量化研究訊號，並以 SPY 為基準。

可以做什麼: Boolsai Signals 是遠端 MCP 伺服器，用於對 316 家上市公司網站技術堆疊變化中發現的可交易訊號進行量化研究，涵蓋 1,761 個事件。其七個工具包括 universe_summary、find_signals、test_filter、recent_events、event_dossier、scan_at_date 與 ticker_history。它建立於歷史掃描語料庫之上，並整合 Wayback Machine，方法論寫在 initialize 回應中。
適用情境: 當助理需要研究某家上市公司網站技術堆疊的變化是否與可交易訊號相關、檢視近期事件，或查看某家公司的歷史紀錄時，可以使用它。它適合研究與篩選，而非即時交易。
執行需求: 遠端 streamable HTTP 端點 signals.boolsai.ai，不需安裝套件。提供方聲明不需要身分驗證、API 金鑰、環境變數或標頭。需要能連線至該端點的網路。

安裝前請注意

此伺服器自稱免驗證且唯讀，因此不會索取憑證。訊號屬於研究輸出，並非投資建議，提供方自述的基準與方法論在此未經查證。用於決策前請確認資料的新鮮度與授權狀況。

安裝

在 SourceWeft 中

開啟儀表板中的 Boolsai Signals，將其新增到工作區。
為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.boolsai%2Fsignals/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "boolsai-signals": {
      "type": "http",
      "url": "https://signals.boolsai.ai/mcp"
    }
  }
}

README

Boolsai — MCP server suite

[MCP] [License: MIT] [No-auth]

Stack-intelligence MCPs for AI agents. Live, no-auth, public access to every commerce site's tech stack — every vendor, every account ID, every inline script signature, plus a quant-research signal layer on top.

Built for AI agents doing competitive intel, agency prospect research, ecommerce due diligence, and ad-hoc commerce-data discovery.

This repo contains the Anthropic MCP Registry manifests for the four-server Boolsai suite. The actual servers live at *.boolsai.ai.

The four servers

Server	Connect URL	Tools	What it does
Boolsai Scan	`https://boolsai.ai/mcp`	`boolsai_scan`, `boolsai_scan_paths`	Live tech-stack scan of any public site. Returns every external host, inline script signature, route, vendor, account ID, and JSON-LD organisation block in one response.
Boolsai Directory	`https://directory.boolsai.ai/mcp`	`summary`, `site_dossier`, `sites_using_vendor`, `lookup_id`, `brands_in_city`, `brands_in_market`, `stack_archetype`, `compare_sites`, `similar_sites`, `brands_by_founder`	Pre-indexed directory of tens of thousands of ecommerce sites by vendor, account ID, country, founder, city, archetype.
Boolsai Grep	`https://grep.boolsai.ai/mcp`	`grep_pattern`, `count_pattern`, `sites_with_signal`, `list_signal_types`	Parallel regex search across the R2 corpus of every scan we've ever taken. Use when a signal isn't pre-indexed — discover new vendor patterns, leaked account IDs, niche tracking pixels.
Boolsai Signals	`https://signals.boolsai.ai/mcp`	`universe_summary`, `find_signals`, `test_filter`, `recent_events`, `event_dossier`, `scan_at_date`, `ticker_history`	Quant-research MCP. Hunts for tradeable signals in 316 public-company website stack changes (1,761 events), SPY-benchmarked. Wayback Machine integration. Methodology baked into the `initialize` response.

Each server is independently published to the Anthropic MCP Registry under the ai.boolsai/* namespace (DNS-verified via boolsai.ai).

Why Boolsai

No auth, no key, no rate limit gymnastics. Paste a URL into Claude.ai → Settings → Connectors. Done.
First-party data. Every scan runs live on demand. No third-party feeds, no stale catalogue.
Built for AI consumption. Each server's initialize response includes a detailed instructions block — vendor recognition tips, output schemas, methodology. Agents don't have to guess.
Suite, not silo. Cross-discovery: each server's instructions reference the other three so agents can chain queries (scan → look up in directory → grep historical → test as signal).

Install

Claude Desktop / Claude Code / Cursor

json

{  "mcpServers": {    "boolsai-scan":      { "url": "https://boolsai.ai/mcp" },    "boolsai-directory": { "url": "https://directory.boolsai.ai/mcp" },    "boolsai-grep":      { "url": "https://grep.boolsai.ai/mcp" },    "boolsai-signals":   { "url": "https://signals.boolsai.ai/mcp" }  }}

{  "mcpServers": {    "boolsai-scan":      { "url": "https://boolsai.ai/mcp" },    "boolsai-directory": { "url": "https://directory.boolsai.ai/mcp" },    "boolsai-grep":      { "url": "https://grep.boolsai.ai/mcp" },    "boolsai-signals":   { "url": "https://signals.boolsai.ai/mcp" }  }}

Restart the client. All four servers show up with their tools.

ChatGPT / Claude.ai Custom Connectors

Settings → Connectors → Add custom connector → paste any of the four URLs above. Add all four for the full suite.

One-liner test from a terminal

bash

curl -sS https://boolsai.ai/mcp \  -H 'content-type: application/json' \  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | jq .

curl -sS https://boolsai.ai/mcp \  -H 'content-type: application/json' \  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | jq .

Example agent prompts

"What's the full tech stack of gymshark.com?" → boolsai_scan({ url: "https://gymshark.com" })

"List ten stores using Klaviyo with their company IDs." → boolsai-directory.sites_using_vendor({ vendor: "klaviyo" })

"Show me sites with window._fs_org (FullStory) in their inline scripts." → boolsai-grep.sites_with_signal({ pattern: "window._fs_org" })

"Find the highest-α tradeable signal in the last 30 days with n ≥ 20." → boolsai-signals.find_signals({ horizon_days: 30, min_n: 20 })

Architecture

                   ┌──────────────────────────┐                   │  AI agent (Claude / etc) │                   └────────────┬─────────────┘                                │ JSON-RPC 2.0 (Streamable HTTP)            ┌───────────────────┼─────────────────────┐            ▼                   ▼                     ▼   boolsai.ai/mcp     directory.boolsai.ai/mcp   grep.boolsai.ai/mcp   (live scanner)     (indexed corpus query)     (raw R2 search)            │                   │                     │            │                   │                     │            ▼                   ▼                     ▼     ┌──────────────────────────────────────────────────────┐     │  R2 corpus (hundreds of thousands of historical scans) │     └──────────────────────────────────────────────────────┘                                ▲                                │ derived                signals.boolsai.ai/mcp  (quant signals from stack changes)

                   ┌──────────────────────────┐                   │  AI agent (Claude / etc) │                   └────────────┬─────────────┘                                │ JSON-RPC 2.0 (Streamable HTTP)            ┌───────────────────┼─────────────────────┐            ▼                   ▼                     ▼   boolsai.ai/mcp     directory.boolsai.ai/mcp   grep.boolsai.ai/mcp   (live scanner)     (indexed corpus query)     (raw R2 search)            │                   │                     │            │                   │                     │            ▼                   ▼                     ▼     ┌──────────────────────────────────────────────────────┐     │  R2 corpus (hundreds of thousands of historical scans) │     └──────────────────────────────────────────────────────┘                                ▲                                │ derived                signals.boolsai.ai/mcp  (quant signals from stack changes)