protogrid
Sign inAdd to your agent

Search / io.github.agentready-market/audit

audit

R0· no sign-in

AgentReady.market audit: can an AI shopping agent find, understand and BUY on this store? /100.

v1.0.1 · active · repository · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality91strong
Trust94of 100
Uptime, 30 days100%
Latency p50431 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "audit": {
      "type": "http",
      "url": "https://www.agentready.market/mcp"
    }
  }
}
claude mcp add --transport http audit https://www.agentready.market/mcp
[mcp_servers.audit]
url = "https://www.agentready.market/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "audit": {
      "type": "remote",
      "url": "https://www.agentready.market/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "audit": {
      "type": "http",
      "url": "https://www.agentready.market/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=audit&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vd3d3LmFnZW50cmVhZHkubWFya2V0L21jcCJ9"
}
{
  "servers": {
    "audit": {
      "type": "http",
      "url": "https://www.agentready.market/mcp"
    }
  }
}
{
  "mcpServers": {
    "audit": {
      "httpUrl": "https://www.agentready.market/mcp"
    }
  }
}
extensions:
  "audit":
    enabled: true
    name: "audit"
    type: streamable_http
    uri: "https://www.agentready.market/mcp"
    timeout: 300

Quality 91 / 100strong

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene100 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations4 of 4 tools declare readOnlyHint or destructiveHint
  • pass
    tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
  • pass
    tools.token_costabout 669 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changes5 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

4 tools, about 669 tokens to load them all · tool set 97eb49a6370f · tools last changed 2026-10-17 · checked 2026-10-20 14:21 UTC

Tool changes

  • scan_storeadded

    Run a fresh AgentReady audit of an e-commerce store (~30s, public pages only, no order placed) and return the same readiness summary as check_merchant_readiness plus a public report link. Use it when check_merchant_readiness says the host has no scan, or the user wants a re-measure. Rate-limited per caller and globally.

  • check_merchant_readinesschangeddescription
    before

    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; orders_blocked also covers a block the score can't see, such as shopping agents turned away) 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.

    after · 68% of words in common

    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; orders_blocked also covers a block the score can't see, such as shopping agents turned away) and agent-protocol adoption (UCP, A2A, ARD). Reads the latest stored score and never triggers an audit; if the host has no score yet, call scan_store to run one.

  • list_agent_ready_storeschangeddescription
    before

    The Agent-Ready Index: e-commerce stores where an AI shopping agent can actually buy (grade B or better and no block found), 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.

    after · 94% of words in common

    The AgentReady.market Index: e-commerce stores where an AI shopping agent can actually buy (grade B or better and no block found), 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.

  • list_agent_ready_storeschangeddescription
    before

    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.

    after · 94% of words in common

    The Agent-Ready Index: e-commerce stores where an AI shopping agent can actually buy (grade B or better and no block found), 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.

  • check_merchant_readinesschangeddescription
    before

    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.

    after · 87% of words in common

    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; orders_blocked also covers a block the score can't see, such as shopping agents turned away) 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.

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 94 / 100

provenance90
liveness100
freshness85
hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-68d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://www.agentready.market/mcp streamable-httpnoneyes100%431 ms2025-06-182026-10-20

Tools (4)

check_merchant_readinessread-onlyCheck 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; orders_blocked also covers a block the score can't see, such as shopping agents turned away) and agent-protocol adoption (UCP, A2A, ARD). Reads the latest stored score and never triggers an audit; if the host has no score yet, call scan_store to run one.
get_readiness_reportread-onlyThe 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.
list_agent_ready_storesread-onlyThe AgentReady.market Index: e-commerce stores where an AI shopping agent can actually buy (grade B or better and no block found), 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.
scan_storeRun a fresh AgentReady audit of an e-commerce store (~30s, public pages only, no order placed) and return the same readiness summary as check_merchant_readiness plus a public report link. Use it when check_merchant_readiness says the host has no scan, or the user wants a re-measure. Rate-limited per caller and globally.

Schemas: list_tools.

Similar MCP servers

  • agentreadyR0quality 79
    io.github.msanchezgrice/agentready

    Scan any public site for AI-agent visibility; get scored findings, a machine-readable fix pack, and

  • Buy My AgentR0quality 91
    io.github.BUYMYAGENT-TECHNOLOGIES-INC/marketplace

    Search a curated, human-reviewed AI agent marketplace, and post what you could not find.

  • agentic-commerce-readinessR0quality 79
    com.expandingweb/agentic-commerce-readiness

    Score a Magento or Adobe Commerce store on eight AI agent-readiness checks.

  • agent-ready-kitR0quality 85
    com.mudko/agent-ready-kit

    Agent-readiness scanner (0-5 score), robots.txt + llms.txt generators, managed agent enablement.

  • ColterL0
    io.github.mfbahc/colter

    Colter audits product pages for AI shopping agents and returns fixes, tests, and Evidence Packs.

  • Agent Commerce GuardR0quality 91
    io.github.fxjim/agent-commerce-guard

    Policy review and purchase discovery for AI-agent commerce actions.

Official server.json
{
  "name": "io.github.agentready-market/audit",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-16/server.schema.json",
  "remotes": [
    {
      "url": "https://www.agentready.market/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.1",
  "repository": {
    "url": "https://github.com/agentready-market/agentready",
    "source": "github"
  },
  "websiteUrl": "https://www.agentready.market",
  "description": "AgentReady.market audit: can an AI shopping agent find, understand and BUY on this store? /100."
}