# Agent Conversion

> Run evidence-backed website conversion audits with an AI browsing agent.

- name: io.github.Ivanpq98/agent-conversion
- version: 0.1.0
- connection class: R0 (autonomous)
- trust: 94/100
- quality: 90/100 (new)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.Ivanpq98%2Fagent-conversion
- tools: https://api.protogrid.dev/v1/servers/io.github.Ivanpq98%2Fagent-conversion/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "agent-conversion": {
      "type": "http",
      "url": "https://agent-conversion-coral.vercel.app/api/mcp"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 100
- freshness: 100
- provenance: 80
- drivers: +repository +namespace-matches-repo +reachable +uptime-100% +updated-1d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 90/100 (new)

### protocol: 88 (weight 25)

- pass `protocol.modern`: supports 2026-07-28 (server/discover)
- pass `protocol.stateless`: answers without a session
- pass `protocol.transport`: streamable HTTP
- warn `protocol.list_ttl`: tools/list declares ttlMs 0, so clients re-fetch it on every use

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 93 (weight 30)

- pass `tools.descriptions`: every tool has a description
- warn `tools.description_length`: 2 tools have descriptions over 1,024 characters, which crowds the context
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 2 of 2 tools declare readOnlyHint or destructiveHint
- pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
- pass `tools.token_cost`: about 792 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: n/a (weight 15)

- n/a `stability.changes`, `stability.rug_pull`: tool history recorded for 1 of the 7 days needed

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 2, about 792 tokens to load them all
- tool set hash: 5d9b59878b7f753000c01cf2e99195dd
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.Ivanpq98/agent-conversion.svg)](https://protogrid.dev/servers/io.github.Ivanpq98/agent-conversion)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://agent-conversion-coral.vercel.app/api/mcp (streamable-http, auth none, reachable true, uptime30d 1)

## Packages

_none_

## Tools (2)

- `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.
- `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.