Search / io.github.Ivanpq98/agent-conversion
protogridR0· no sign-inRun evidence-backed website conversion audits with an AI browsing agent.
v0.1.0 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"agent-conversion": {
"type": "http",
"url": "https://agent-conversion-coral.vercel.app/api/mcp"
}
}
}claude mcp add --transport http agent-conversion https://agent-conversion-coral.vercel.app/api/mcp[mcp_servers.agent-conversion]
url = "https://agent-conversion-coral.vercel.app/api/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"agent-conversion": {
"type": "remote",
"url": "https://agent-conversion-coral.vercel.app/api/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"agent-conversion": {
"type": "http",
"url": "https://agent-conversion-coral.vercel.app/api/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=agent-conversion&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYWdlbnQtY29udmVyc2lvbi1jb3JhbC52ZXJjZWwuYXBwL2FwaS9tY3AifQ%3D%3D"
}{
"servers": {
"agent-conversion": {
"type": "http",
"url": "https://agent-conversion-coral.vercel.app/api/mcp"
}
}
}{
"mcpServers": {
"agent-conversion": {
"httpUrl": "https://agent-conversion-coral.vercel.app/api/mcp"
}
}
}extensions:
"agent-conversion":
enabled: true
name: "agent-conversion"
type: streamable_http
uri: "https://agent-conversion-coral.vercel.app/api/mcp"
timeout: 300
protocol.modernsupports 2026-07-28 (server/discover)protocol.statelessanswers without a sessionprotocol.transportstreamable HTTPprotocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every useauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_length2 tools have descriptions over 1,024 characters, which crowds the contexttools.schemasevery tool has an object input schematools.annotations2 of 2 tools declare readOnlyHint or destructiveHinttools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHinttools.token_costabout 792 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changes, stability.rug_pulltool history recorded for 0 of the 7 days neededdeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+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. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://agent-conversion-coral.vercel.app/api/mcp streamable-http | none | yes | 100% | 306 ms | 2026-07-28 | 2026-10-20 |
get_conversion_reportread-only | 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. |
Schemas: list_tools.
{
"name": "io.github.Ivanpq98/agent-conversion",
"title": "Agent Conversion",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://agent-conversion-coral.vercel.app/api/mcp",
"type": "streamable-http"
}
],
"version": "0.1.0",
"repository": {
"url": "https://github.com/Ivanpq98/agent-conversion",
"source": "github"
},
"description": "Run evidence-backed website conversion audits with an AI browsing agent."
}