known·good search mcp servers how we grade about the index

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mcpkit

mcpkit.sh · visit site →

Probe-verified · tier 2 · checked 23 Aug 2026

MCPKit is a CLI tool that generates Model Context Protocol servers for any website using AI-powered browser automation.

cli toolvia mintlifymcp serversai automationbrowser automationauthentication

What we tested

Probed live on 23 Aug 2026 against rubric v1. 4 of 5 checks passed.

PROBE-VERIFIEDtier 2 of 3
Markdown negotiationAccept: text/markdown
Markdown twin at a predictable URL/page.md
llms.txt/llms.txt
API catalogRFC 9727
MCP server answers/.well-known/mcp/server-card.json → tools/list

What its MCP server offers

We connected, ran tools/list, and recorded what came back on 23 Aug 2026. 3 tools, served from agentflow-427edd42.main-kill-isr.mintlify.me — the standard set for sites on mintlify.

search_mcpkitquery_docs_filesystem_mcpkitsubmit_feedback

What an agent could do here

Read from the page’s own content, with the wording each was drawn from. Inference is kept separate from tested facts — an agent completing the action is tier 3.

UNVERIFIED
read“Fetch the complete documentation index at: https://mcpkit.sh/llms.txt”
https://mcpkit.sh/llms.txt

Context

2 sites in the index share the category cli tool, of which 1 are transactional.

How we grade

Three tiers. Every listing shows which one it has reached, and when. The rubric.

tier 1
Declared
The site says agents are welcome in its robots.txt. A permission, not a capability.
tier 2
Probe-verified
We fetched the site and tested each signal ourselves. Dated, repeatable, re-checked on a schedule.
this site · 23 Aug 2026
tier 3
Behaviourally verified
An agent completed the action end to end — booked, bought, submitted — and it worked.
coming
Own this site?

1 check did not pass when we last looked: API catalog. Each is a small, specific fix; the rubric says exactly what we look for.

Behavioural verification — an agent completing your booking, purchase or contact flow end to end, with the date published here — opens to a small founding cohort first. Leave an email to be in it.

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Record generated from a live database query. Method: about the index.