ai-vendor-data-trust-index
Source-cited data-handling comparison of 11 AI vendors: training, retention, opt-out.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"ai-vendor-data-trust-index": {
"url": "https://trust.oscar-lopez.com/mcp"
}
}
}Remote endpoints
https://trust.oscar-lopez.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (3)
🟢get_ai_vendor_trust_headline(vendor)
FREE. Plain-language, source-cited verdict on how an AI vendor handles your data (trains-on-data, zero-retention, opt-out).
Input Schema
{
"type": "object",
"properties": {
"vendor": {
"type": "string",
"description": "vendor id, e.g. 'openai-api', 'anthropic-api'"
}
},
"required": [
"vendor"
]
}🟢get_ai_vendor_trust_compare(field)
FREE. Compare one data-trust field (default trains_on_your_data) across all tracked vendors, with citations.
Input Schema
{
"type": "object",
"properties": {
"field": {
"type": "string",
"description": "field key, e.g. 'trains_on_your_data'"
}
}
}🟢get_ai_vendor_trust(vendor)
PAID (x402). Full source-cited data-trust record for one vendor: every field, quote, source URL, confidence, date.
Input Schema
{
"type": "object",
"properties": {
"vendor": {
"type": "string"
}
},
"required": [
"vendor"
]
}Community
Evidence