com.mambabuilt/mcp-agent-accessibility-auditor
NPM · @MAMBALABSDEV/MCP-AGENT-ACCESSIBILITY-AUDITOR · SCANNED AUG 18
Audit whether an AI agent can read a site: llms.txt, robots AI rules, structured data.
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 & Transparency48
- 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 6 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability69
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 328 tokens (~328/item across 1 items; 1 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- 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 · @mambalabsdev/mcp-agent-accessibility-auditor
claude mcp add com-mambabuilt-mcp-agent-accessibility-auditor -- npx -y @mambalabsdev/mcp-agent-accessibility-auditor
codex mcp add com-mambabuilt-mcp-agent-accessibility-auditor -- npx -y @mambalabsdev/mcp-agent-accessibility-auditor
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-mambabuilt-mcp-agent-accessibility-auditor": {
"type": "local",
"command": [
"npx",
"-y",
"@mambalabsdev/mcp-agent-accessibility-auditor"
],
"enabled": true
}
}
} openclaw mcp add com-mambabuilt-mcp-agent-accessibility-auditor --command npx --arg -y --arg @mambalabsdev/mcp-agent-accessibility-auditor
mcp_servers:
com-mambabuilt-mcp-agent-accessibility-auditor:
command: "npx"
args: ["-y", "@mambalabsdev/mcp-agent-accessibility-auditor"] {
"mcpServers": {
"com-mambabuilt-mcp-agent-accessibility-auditor": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-agent-accessibility-auditor"
]
}
}
} 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.
- 12 Aug 26 +15
- Malware scan: unverified → pass ▲ security
- 11 Aug 26 53
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 18 Aug 2026 · Analysed npm/@mambalabsdev/mcp-agent-accessibility-auditor@1.0.0
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.
audit_agent_accessibility Audit Agent Accessibility ~328
Give it a domain and it returns whether an AI agent can read that site, and what the site's policy says, as one flat row of 42 fields across five families: the llms.txt family including llms-full.txt and ai.txt, robots.txt AI crawler policy including the newer Content Signal directives, structured data presence and health across JSON-LD, microdata, Open Graph and canonical, render mode, and machine readable endpoint discovery covering sitemap, OpenAPI, well known files and feeds. Every field is a fact read off a fetch. No model is called at any point, so the same domain returns the same row today and next month unless the site actually changed. Twelve requests per domain, typically 2 to 4 seconds. Built for a technical SEO or growth engineer preparing a site for AI crawlers, or an agency selling that work and needing a before and after audit across a client list. Requires an APIFY_TOKEN and consumes Apify credits. Read only.
| Name | Type | Req | Description |
|---|---|---|---|
| check_endpoints | boolean | – | Probes sitemap, OpenAPI, well known files and feeds. Adds 7 concurrent requests. Default: true. |
| check_structured_data | boolean | – | Parses JSON-LD, microdata, Open Graph and canonical off the homepage. Costs no extra requests. Default: true. |
| domain | string | yes | One company domain, for example vercel.com. Protocol and path are stripped. |
| skipCache | string | – | Leave as false to use the 7 day cache. Set to true to re-audit the domain from scratch. Default: "false". |
No output schema declared.
No examples provided.