# audit MCP server

Can an AI shopping agent find, understand and BUY on a store? Deterministic e-commerce audit /100.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-agentready-market-audit
- Repository: https://github.com/agentready-market/agentready
- Website: https://www.agentready.market

## Install
- Endpoint: https://www.agentready.market/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://www.agentready.market/mcp

## Tools
- check_merchant_readiness - Check whether an AI shopping agent can find, understand and BUY on an e-commerce store: AgentReady's deterministic agent-readiness score /100 for a host, with grade, hard-block status (capped = agents are blocked at the door) and agent-protocol adoption (UCP, A2A, ARD). Scores exist for stores whose merchant ran a scan at agentready.market — this tool never triggers a new audit of a third-party site. Endpoint: https://www.agentready.market/mcp
- get_readiness_report - The latest public agent-readiness report for a scanned store: every check with its status (pass/partial/fail) across access & crawlability, structured data and catalog pillars, plus score, grade and report link. Same visibility as the public web report. Endpoint: https://www.agentready.market/mcp
- list_agent_ready_stores - The Agent-Ready Index: e-commerce stores where an AI shopping agent can actually buy (grade B or better), ranked by agent-readiness score /100. Use it to route a purchase toward a store agents are known to succeed on, or to benchmark a store against its peers. Optionally filter by vertical and cap the number of rows. Endpoint: https://www.agentready.market/mcp

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.github.agentready-market
- Version: 1.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Aug 1, 2026
- Source: https://registry.modelcontextprotocol.io