Boolsai — MCP server suite
MCP serverDev toolsLets your agent scan any public website to identify the technologies, scripts, and vendors behind it.
Use Boolsai — MCP server suite in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Boolsai — MCP server suite and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use Boolsai
Needs your own Boolsai — MCP server suite account. You sign in to it and approve access when you connect.
Details
Available today. Use it from your connected AI after setup.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this server
Live tech-stack scan of any public site, vendors, account IDs, scripts, JSON-LD. 2 tools.
Install Boolsai — MCP server suite
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user boolsai-mcp-server-suite 'https://boolsai.ai/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://boolsai.ai/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=boolsai-mcp-server-suite&config=eyJ1cmwiOiJodHRwczovL2Jvb2xzYWkuYWkvbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://boolsai.ai/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add boolsai-mcp-server-suite --url 'https://boolsai.ai/mcp'Run it once, then sign in with codex mcp login boolsai-mcp-server-suite if the server asks for an account.
From the project's README
As published by boolsai-ai/mcp in README.md.
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
initializeresponse includes a detailedinstructionsblock — 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
{
"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
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)
All four servers run on Cloudflare Workers with R2 for the historical corpus.
Publishing to the MCP Registry
See PUBLISHING.md for the one-time DNS verification + per-server publish commands.
License
MIT — see LICENSE.
Built by Boolsai · Contact: founder@boolsai.ai
Signals
- GitHub stars
- 1
- Last commit
- May 2026
Advanced
- Delivery
- scan MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
ai-boolsai-scan- Source
- github.com/boolsai-ai/mcp
- Hosted endpoint
https://boolsai.ai/mcp