Can an AI shopping agent find, understand and BUY on a store? Deterministic e-commerce audit /100.
Audit MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Can an AI shopping agent find, understand and BUY on a store? Deterministic e-commerce audit /100.
Call check_merchant_readiness before attempting a purchase on any store — a "capped" store blocks agents at the door and the attempt will fail.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Once Audit is connected, these are the calls the assistant has available:
REST — GET https://www.agentready.market/api/v1/scan?url= →Discovery — /.well-known/agent-card.json (A2A) ·This sits in the payments and commerce group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Audit's toolset — REST, Discovery — is a fair guide to whether it matches your workflow. It is maintained by agentready-market; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Audit's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| REST | GET https://www.agentready.market/api/v1/scan?url=<store> → |
| Discovery | [/.well-known/agent-card.json](https://www.agentready.market/.well-known/agent-card.json) (A2A) · |
{ "mcpServers": { "agentready": { "type": "http", "url": "https://www.agentready.market/mcp" } } }Configuration as documented by the project. Restart the client after saving.
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