io.github.amati032-dev/crawlbit
NPM · CRAWLBIT-MCP · SCANNED AUG 17
Four free tools to check if AI engines can find, read and recognise a site. No API key.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 96 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 2 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability83
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 492 tokens (~123/item across 4 items; 4 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · crawlbit-mcp
claude mcp add amati032-dev-crawlbit -- npx -y crawlbit-mcp
codex mcp add amati032-dev-crawlbit -- npx -y crawlbit-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"amati032-dev-crawlbit": {
"type": "local",
"command": [
"npx",
"-y",
"crawlbit-mcp"
],
"enabled": true
}
}
} openclaw mcp add amati032-dev-crawlbit --command npx --arg -y --arg crawlbit-mcp
mcp_servers:
amati032-dev-crawlbit:
command: "npx"
args: ["-y", "crawlbit-mcp"] {
"mcpServers": {
"amati032-dev-crawlbit": {
"command": "npx",
"args": [
"-y",
"crawlbit-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 14 Aug 26 70
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 17 Aug 2026 · Analysed npm/crawlbit-mcp@1.0.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Dependencies 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
crawlbit_crawler_watch AI crawler access ~142
Checks whether AI crawlers are allowed to read a site: GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot and Google-Extended. Reads the site's robots.txt and reports, per crawler, whether it is fully allowed, partially blocked or blocked entirely. Use this when someone asks why AI never mentions their site, or before any other AI-visibility work: a blocked crawler makes everything else pointless. Reflects robots.txt only, so it cannot detect blocking done at the CDN or firewall layer.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | The site to analyse, e.g. example.com or https://example.com |
No output schema declared.
No examples provided.
crawlbit_entity_check Brand entity check ~118
Checks whether a brand reads as a clear, consistent entity that AI can recognise: Organization schema, a consistent name, a description, a logo and linked profiles (sameAs). AI engines struggle to name a brand they cannot identify as a distinct thing. Use this when a brand is confused with another, or described vaguely, in AI answers. Measures the signals published on the site itself, not the brand's reputation across the web.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | The site to analyse, e.g. example.com or https://example.com |
No output schema declared.
No examples provided.
crawlbit_offpage_gaps Off-page gap finder ~126
Finds where a brand is missing OUTSIDE its own website: review platforms, directories, communities and 'best of' roundups relevant to its category. Off-page mentions on third-party pages are the strongest known predictor of AI citations, because engines weight what others say about a brand far above what the brand says about itself. Use this when a site is technically perfect yet still never cited. Returns the gaps and priorities; it does not publish anything or contact anyone.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | The site to analyse, e.g. example.com or https://example.com |
No output schema declared.
No examples provided.
crawlbit_shopping AI shopping readiness ~106
Checks whether AI shopping agents such as ChatGPT Shopping can find, understand and recommend a store's products: product schema completeness, price and availability signals, and the attributes those agents read. Use this for e-commerce sites, especially Shopify, when products never surface in AI recommendations. Inspects published structured data, so it cannot see a merchant feed submitted privately to a platform.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | The site to analyse, e.g. example.com or https://example.com |
No output schema declared.
No examples provided.