All servers · Utilities
Agent Conversion — AI Website Conversion Testing
io.github.Ivanpq98/agent-conversion · v0.1.1
New (7 days)
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Can write (some tools are not declared read-only) |
| Capabilities declared | tools |
| Tool definitions | 2 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Test whether AI agents complete SaaS pricing, signup or sales journeys; get evidence-backed reports.
Connect
streamable-http · https://agent-conversion-coral.vercel.app/api/mcp
claude mcp add --transport http agent-conversion https://agent-conversion-coral.vercel.app/api/mcp{
"mcpServers": {
"agent-conversion": {
"url": "https://agent-conversion-coral.vercel.app/api/mcp"
}
}
}Tools as reported by the server
test_conversionStart a real Agent Conversion audit: an autonomous browsing agent opens the given website and tries to complete the task, then the run is scored 0-100 with problems and recommendations. Use this when someone wants to know whether an AI agent can find something or complete a commercial step on a specget_conversion_reportGet the status and, once finished, the result of an audit started with test_conversion. Pass the audit_id returned by test_conversion (a report URL also works). status is "pending" while the agent is still running: wait retry_after_seconds and call again. If stale is true, the audit will never finis
Repository · Website · JSON · Text for agents · Registry updated 2026-10-22