Live tech-stack scan of any public site — vendors, account IDs, scripts, JSON-LD. 2 tools.
Boolsai Scan MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Live tech-stack scan of any public site — vendors, account IDs, scripts, JSON-LD. 2 tools.
Built for AI agents doing competitive intel, agency prospect research, ecommerce due diligence, and ad-hoc commerce-data discovery.
Once Boolsai Scan is connected, these are the calls the assistant has available:
First — party data.** Every scan runs live on demand. No third-party feeds, no stale catalogueServer — Connect URLSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Among the file and storage access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Boolsai Scan's toolset — First, Server — is a fair guide to whether it matches your workflow. It is maintained by ai.boolsai; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| First | party data.** Every scan runs live on demand. No third-party feeds, no stale catalogue. |
| Server | Connect URL |
{
"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" }
}
}Configuration as documented by the project. Restart the client after saving.
Scoped local file access — read, write, search and reorganise files in directories you explicitly allow.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.