mcpbeat

Boolsai Grep MCP Server

ai.boolsai/grep
answering

Boolsai Grep is answering right now. Last checked 15 min ago. It exposes 4 tools. Last commit 19 May 2026.

Parallel regex across all Boolsai scans — discover new vendor patterns, niche signals. 4 tools.

Uptime history 42 hours of history
42 hours agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
101 ms
Response time
average over 24h
1
Stars
last commit 19 May 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

run in your terminal
claude mcp add grep --transport http https://grep.boolsai.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "grep": {
      "url": "https://grep.boolsai.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.grep]
url = "https://grep.boolsai.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "grep": {
      "url": "https://grep.boolsai.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "grep": {
      "url": "https://grep.boolsai.ai/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

count
count_pattern
Same as grep_pattern but returns only the count of matching sites. Faster — no per-match serialization. Useful for sizing 'how many sites use X' before doing a full grep.
grep
grep_pattern
Run a JavaScript regex across every scan we've ever taken. Returns matching site URLs (and optional snippets). Best for ad-hoc discovery of patterns NOT already extracted into id_index. Pass narrowing filters (vendor, tld, since) to keep scan volume manageable. Default returns URLs only — set with_snippets=true if you also want the matched JSON context.
signal
list_signal_types
Returns the full catalog of signal_types currently present in id_index, with counts of unique values and unique domains for each.
sites
sites_with_signal
Return sites that have a known signal_type=signal_value pair in id_index. MUCH faster than grep_pattern — uses pre-indexed D1 lookup. Use this whenever the signal_type is in the list (see instructions). Examples: sites_with_signal(signal_type='vendor', signal_value='mparticle_workspace') ← won't work, that's an ID type, use sites_with_signal(signal_type='mparticle_workspace') WITHOUT signal_value to list all values + their domains.

Endpoints

URLTransportStateLatencyChecked
https://grep.boolsai.ai/mcp streamable-http answering 104 ms 15 min ago

Boolsai Grep — questions

Answers built from our own checks of this server.

What can Boolsai Grep do?
It exposes 4 tools, read directly from the server on our last check. Among them: count_pattern, grep_pattern, list_signal_types, sites_with_signal. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Boolsai Grep working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 101 ms. The bar chart above shows every period we have measured.
How do I connect Boolsai Grep?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Boolsai Grep need an API key?
No. Boolsai Grep completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Boolsai Grep?
It answers our handshake in 101 ms on average, which is faster than 84% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Boolsai Grep open source?
Yes — it is published under the MIT licence and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.