CrawlBit MCP

CrawlBit MCP

Provides four free tools to assess AI visibility: crawler access, entity recognition, off-page gaps, and shopping agent compatibility, without requiring an API key.

Category
Visit Server

README

CrawlBit MCP

Four free tools that answer one question: can AI engines find, read and recognise a website?

No account. No API key. No signup. Nothing here runs a language model, so nothing here costs you or us anything.

"Can ChatGPT read stripe.com?"
"Why does AI never mention my store?"
"Where is my brand missing outside my own site?"

Ask in plain language. Your AI client picks the right tool.


Install

Requires Node.js 18+.

Claude Code

claude mcp add crawlbit -- npx -y crawlbit-mcp

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "crawlbit": {
      "command": "npx",
      "args": ["-y", "crawlbit-mcp"]
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "crawlbit": {
      "command": "npx",
      "args": ["-y", "crawlbit-mcp"]
    }
  }
}

Restart your client. Four tools appear.


The four tools

Tool What it answers
crawlbit_crawler_watch Can GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended read this site?
crawlbit_entity_check Does this brand read as a clear entity AI can recognise?
crawlbit_offpage_gaps Where is this brand missing outside its own website?
crawlbit_shopping Can AI shopping agents understand and recommend these products?

Try these

Check whether AI crawlers can read example.com
Does example.com read as a clear brand entity to AI?
Where is example.com missing off-page, and which gap should we close first?
Compare example.com and competitor.com on AI crawler access

The tools compose. A useful sequence is: crawler access first (a blocked crawler makes everything else pointless), then the entity check, then the off-page gaps.


What this does NOT do

Written plainly, because an SEO tool that overstates itself is worse than no tool.

  • It does not test whether AI actually cites a brand. That means running real buyer questions against ChatGPT, Perplexity and Claude, reading the answers, and reporting who gets named instead of you. It costs real money per run and is not part of this free surface. These four tools measure the conditions that make a citation possible, which is a smaller claim.
  • crawler_watch reads robots.txt only. It cannot see blocking done at the CDN, firewall or rate-limit layer. A site can pass here and still refuse the crawler in practice.
  • entity_check reads what the site publishes about itself. It says nothing about the brand's reputation across the rest of the web.
  • shopping inspects published structured data. It cannot see a merchant feed submitted privately to a platform.

If a site scores well on all four and still is not cited, the answer is almost always the same and it is not technical: too few third-party pages mention it. These tools will tell you that honestly rather than sell you a fix that does not exist.


Why only four tools

CrawlBit also runs a full technical audit and generates llms.txt. Both use a language model, so both cost money per run, and neither is exposed here.

That is a deliberate line rather than a teaser. A free tool whose bill grows with its popularity gets rate-limited, degraded or withdrawn the moment it succeeds, and the people who installed it are the ones who pay for that. Everything in this server costs nothing to run, so nothing here has to be taken back later. The audit and the llms.txt generator live at crawlbit.app if you want them.


Rate limit

The API rate-limits per IP. Normal conversational use does not come close, and the server runs on your machine, so the budget is yours rather than shared. If you do hit it, you get a plain sentence rather than a stack trace.


Configuration

Variable Default Purpose
CRAWLBIT_BASE_URL https://www.crawlbit.app Point the server at another instance

Privacy

The server runs locally and stores nothing. The only data leaving your machine is the URL you ask about, sent to the CrawlBit API to be analysed. There is no account, so there is nothing to tie a request to a person.


About

Built by CrawlBit, which measures AI visibility and does the off-page work that earns citations. The free tools here are the measurement half. The paid work is the other half, and you are not required to look at it to use this.

MIT licensed. Issues and pull requests welcome.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured