Boolsai Scan

Boolsai — MCP server suite

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.

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The four servers

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

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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).

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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 .

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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 })

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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.

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Publishing to the MCP Registry

See [PUBLISHING.md](./PUBLISHING.md) for the one-time DNS verification + per-server publish commands.

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License

MIT — see LICENSE.

Built by Boolsai · Contact: founder@boolsai.ai