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io.github.oscarlopez-gif/ai-vendor-data-trust-index
io.github.oscarlopez-gif/ai-vendor-data-trust-index · v0.1.0
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2024-11-05 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 3 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Source-cited data-handling comparison of 11 AI vendors: training, retention, opt-out.
Connect
streamable-http · https://trust.oscar-lopez.com/mcp
claude mcp add --transport http ai-vendor-data-trust-index https://trust.oscar-lopez.com/mcp{
"mcpServers": {
"ai-vendor-data-trust-index": {
"url": "https://trust.oscar-lopez.com/mcp"
}
}
}Tools as reported by the server
get_ai_vendor_trust_headlineFREE. Plain-language, source-cited verdict on how an AI vendor handles your data (trains-on-data, zero-retention, opt-out).get_ai_vendor_trust_compareFREE. Compare one data-trust field (default trains_on_your_data) across all tracked vendors, with citations.get_ai_vendor_trustPAID (x402). Full source-cited data-trust record for one vendor: every field, quote, source URL, confidence, date.
Repository · JSON · Text for agents · Registry updated 2026-08-15