About Fairquery Agent Trust & Data Safety
Fairquery Agent Trust & Data Safety is an MCP server offering local text redaction and email checks, plus optional paid screening for deliverability, sanctions, and dependency vulnerabilities. It is for AI agents handling untrusted data, with free tools that run locally and paid calls using the operator’s Apify token.
Key features
- 01Local PII and secret scanning and redaction
- 02Email syntax and address checks
- 03Sanctions screening against listed authorities
- 04OSV package vulnerability lookups and audits
- 05Paged results and named error codes
Use cases
- 01Redacting prompts, tickets, or logs before LLM use
- 02Checking signup email syntax and deliverability
- 03Screening names against sanctions lists
- 04Finding known vulnerabilities in package dependencies
MCP support
The MCP server exposes tools for PII and secret handling, email checks, sanctions screening, and OSV vulnerability queries. Free tools run locally; optional paid tools call Fairquery Apify Actors using the operator’s APIFY_TOKEN.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y @fairquery/agent-trust-mcpAPIFY_TOKENSecretOptional. Your own Apify API token, only needed for paid tools (billed to your Apify account).Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
13Saved tool list · updated 1w ago
This tool takes no parameters.
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.