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Boolsai Signals

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

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

README

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

{
  "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: [email protected]

from github.com/Boolsai-ai/mcp

Installing Boolsai Signals

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/Boolsai-ai/mcp

FAQ

Is Boolsai Signals MCP free?

Yes, Boolsai Signals MCP is free — one-click install via Unyly at no cost.

Does Boolsai Signals need an API key?

No, Boolsai Signals runs without API keys or environment variables.

Is Boolsai Signals hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Boolsai Signals in Claude Desktop, Claude Code or Cursor?

Open Boolsai Signals on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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