Agent Conversion — AI Website Conversion Testing

{
  "mcpServers": {
    "io.github.Ivanpq98/agent-conversion": {
      "url": "https://agent-conversion-coral.vercel.app/api/mcp"
    }
  }
}

Indexed tools

Tool metadata and schemas come from the remote server and are untrusted. Indexing only lists tools; it never calls them.

2 shown · authentication unknown

• Get an agent conversion report

  get_conversion_report

  Get 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 finish; start a new one. When status is "completed", result contains: task_completed (did the agent reach the goal), score (0-100 Agent Conversion Score, or null when score_withheld because the run did not finish measuring), summary, successes, frictions and recommendations; evidence.steps lists what the agent did. failure_classification explains a non-clean run: "blocked" (safety boundary or site-side access refusal such as a bot challenge — a real finding about the site), "run_did_not_finish", "infrastructure_failure" or "pipeline_error" (Agent Conversion's own problem, not the site's). report_url is a human-readable report to share. status "failed" means no report will be produced. Calling this tool is free and safe to repeat.

  Schema valid · SHA-256 7fdb6f2108e5…

  View input schema

  {
    "type": "object",
    "properties": {
      "audit_id": {
        "type": "string",
        "description": "The audit_id returned by test_conversion, or the report URL."
      }
    },
    "required": [
      "audit_id"
    ],
    "$schema": "https://json-schema.org/draft/2020-12/schema"
  }

• Test agent conversion on a website

  test_conversion

  Start 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 specific website, e.g. "Can an agent find the Pro plan's monthly price on example.com?" or "Can an agent start the self-service signup on example.com?". Returns immediately with an audit_id and status "pending" — it does NOT wait for the result. Call get_conversion_report with the audit_id to get the result. Rules: url must be a public http(s) URL (no localhost, private IPs, credentials or custom ports). task must be 10-1000 characters and describe the goal in plain language; phrase purchase-like goals as "reach checkout without buying". Each call costs a real browser run and is rate limited: do not call it repeatedly for the same url+task — poll get_conversion_report instead. Error codes rate_limited, daily_limit and at_capacity mean try again later.