it.sneeze.agentready/agent-ready
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Publisher-provided title
Agent Ready
Publisher-provided description
Score any website out of 100 for how well AI agents can find, understand and use it.
Summary by lookupd
Scores a public website from 0 to 100 on how usable it is for AI agents and explains each scoring check and its weight.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http agent-ready https://agentready.sneeze.it/mcp
Codex, remote (streamable-http)
codex mcp add agent-ready --url https://agentready.sneeze.it/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"agent-ready": {
"url": "https://agentready.sneeze.it/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (4 tools)
Publisher-provided text
scan_websiteScore any public website out of 100 for how well AI agents can use it: reach it, understand it, act on it (book, quote, buy), complete the task, act for a signeget_reportFetch a report that was already run, by its report link or id, without scanning again.explain_checkExplain what one check measures, what it is worth and where to read how to fix it. Pass the check name as it appears in a report, for example "WebMCP tools an aget_scoring_methodThe scored areas, their weights and every check, so a score can be explained.
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 247 ms
- First indexed:
- Last seen in registry:
- Website: https://agentready.sneeze.it/mcp-server
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