Catalog › io.github.shotwellj/air-blackbox
Not measured yet air-blackbox runs locally (installed package), so Faceabot cannot measure it over the network.
Not checked yet · local package
mcp-eu-ai-act Reliable (measured) · 100%
EU AI Act + GDPR compliance scanner. One call, no arguments, 10 seconds. 22 AI frameworks detected. · https://mcp.arkforge.tech/mcp
dpdp-compliance Flaky · 80%
India DPDP Act facts, current pricing and a public-site compliance scan. No login needed. · https://api.openproof.io/mcp
GET https://faceabot.com/resolve?need=…En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
EU AI Act compliance scanner for Python AI agents — scan, analyze, and remediate
Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.2 · publisher website{
"mcpServers": {
"air-blackbox": {
"command": "uvx",
"args": [
"air-blackbox-mcp"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.shotwellj/air-blackbox"} on https://faceabot.com/api/mcp. — Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .
{}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.No measurement yet.
initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.Find tools similar to air-blackbox →
Show your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.shotwellj/air-blackbox)Data in JSON: /api/catalog?id=io.github.shotwellj/air-blackbox · Stop probes:
POST /api/reliability/opt-outAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
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