About crawlbit
CrawlBit MCP checks whether AI crawlers can access a site, recognize its brand, find off-site mentions, and interpret product data. It is aimed at site owners assessing AI visibility conditions; the tools do not test actual citations or use a language model.
Key features
- 01Check crawler access via robots.txt
- 02Assess brand entity clarity
- 03Find off-site brand gaps
- 04Inspect product structured data
Use cases
- 01Check whether AI crawlers can read a site
- 02Review how clearly a site describes its brand
- 03Identify missing third-party brand mentions
- 04Check product data for AI shopping
MCP support
Exposes four website-analysis tools to MCP clients: crawler access, entity clarity, off-site gaps, and shopping data checks. The checks send the requested URL to the CrawlBit API and do not run a language model.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y crawlbit-mcpCRAWLBIT_BASE_URLOptional. Point the server at another CrawlBit instance. Defaults to https://www.crawlbit.app. No API key or account is needed to use this server.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
4Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| url | string | Yes | The site to analyse, e.g. example.com or https://example.com |
Details
From the project READMECrawlBit 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_watchreadsrobots.txtonly. 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_checkreads what the site publishes about itself. It says nothing about the brand's reputation across the rest of the web.shoppinginspects 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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.