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Ai Vendor Data Trust Index MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Source-cited data-handling comparison of 11 AI vendors: training, retention, opt-out.

About

Source-cited data-handling comparison of 11 AI vendors: training, retention, opt-out.

Remote endpoints: streamable-http: https://trust.oscar-lopez.com/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

3 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-oscarlopez-gif-ai-vendor-data-trust-index": {
      "url": "https://trust.oscar-lopez.com/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

AI Vendor Data-Trust Index

License: MIT Data: CC BY 4.0 MCP

A source-cited record of how AI products handle your data — whether the vendor trains on your inputs, whether zero data retention is available, and whether you can opt out — across 11 products (OpenAI, Anthropic, Google Vertex & Gemini, Azure OpenAI, AWS Bedrock, Microsoft 365 Copilot, GitHub Copilot, Mistral, Meta Llama). Every value carries a verbatim quote from the vendor's live policy, a source URL, a confidence level, and the date it was checked. Ambiguous cases are marked unclear rather than guessed. An automated verifier re-checks the policies weekly and only publishes a value when a verbatim quote supports it — otherwise it holds the last human-verified value.

For AI agents (MCP)

This is a remote MCP server (streamable-http). Add it to your MCP client:

{
  "mcpServers": {
    "ai-vendor-data-trust": {
      "type": "streamable-http",
      "url": "https://trust.oscar-lopez.com/mcp"
    }
  }
}

Tools: get_ai_vendor_trust_headline (free — verdict + cited fields for one vendor), get_ai_vendor_trust_compare (free — one field across all vendors), get_ai_vendor_trust (paid, x402 — full cited record). Vendor IDs: openai-api, openai-consumer, anthropic-api, google-vertex, google-gemini-consumer, microsoft-copilot, azure-openai, aws-bedrock, mistral-api, meta-llama, github-copilot.

Endpoints

Free (CORS-enabled):

  • GET /v1/ai-trust/headline?vendor=openai-api — verdict + 3 cited headline fields
  • GET /v1/ai-trust/compare?field=trains_on_your_data — one field across all vendors

Paid (mock x402 — 402 challenge → echo {resource,nonce,mac} in X-PAYMENT):

  • GET /v1/ai-trust/vendor?vendor=openai-api — full cited record
  • GET /v1/ai-trust/all — bulk export

Other: POST /mcp (JSON-RPC: 2 free tools + 1 paid), GET /openapi.json, GET /.well-known/x402, GET /admin/config?key=<STATS_TOKEN> (config lever).

Deploy

cd ai-trust-index
npm install
npm run db:create                 # → paste the returned database_id into wrangler.jsonc
npm run schema:remote             # create tables (drops existing)
npm run seed:remote               # load the 6-vendor provisional seed
npx wrangler deploy --dry-run --outdir dist   # verify build (no auth)
npm run deploy                    # deploy the Worker
# In Cloudflare: add custom domain trust.oscar-lopez.com to this Worker.
# Set real secrets before public use:
npx wrangler secret put MOCK_PAYMENT_SECRET
npx wrangler secret put STATS_TOKEN

Verifier (v1) — automated weekly re-check

Pipeline in src/verifier.ts: fetch each vendor's pinned policy URLs → content-hash diff (skip if unchanged) → model extraction of {value, quote} (Workers AI by default; frontier via AI Gateway if configured) → verbatim quote-verification (the candidate quote must be a literal substring of the fetched source, else rejected) → confidence gate. Only a quote-verified DEFINITE value auto-publishes (verified_by='auto'); anything else is queued in review_queue and the last good published value is held (never auto-downgraded to unclear). A failed fetch holds the last good value and flags the URL. Runs weekly via cron (0 12 * * 1) and on demand.

Admin endpoints (key-gated by STATS_TOKEN):

  • GET /admin/verify?key=…[&force=1][&vendor=ID] — run the verifier now
  • GET /admin/review?key=… — list open review-queue candidates
  • GET /admin/review-resolve?key=…&id=N&action=approve|reject — approve (publishes as human) or reject
  • GET /admin/verify-selftest?key=… — proves the quote gate rejects a fabricated quote / accepts a verbatim one

Extractor: defaults to Workers AI (EXTRACTOR_MODEL, needs no external key). To use a frontier model, set AI_GATEWAY_URL + AI_GATEWAY_TOKEN (secret) and point EXTRACTOR_MODEL at the provider model.

Not yet built

The /ai-trust site page's changelog view, real x402 settlement, breadth expansion into new vendors (free tier) and the depth/channel schema (paid tier). See ../AI-Trust-Index_v1-Spec_Verifier-and-Depth.md.

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