# Rolex Resale MCP Server: watch price comparison (`mrfentmen/rolex-mcp`) Actor

Research the Rolex resale market: search live watch listings from Fashionphile and Rebag, compare asking prices and spot under-priced references. Not affiliated with Rolex. Keyless MCP server for Claude, ChatGPT, Cursor and any MCP client. Pay per tool call only.

- **URL**: https://apify.com/mrfentmen/rolex-mcp.md
- **Developed by:** [a e](https://apify.com/mrfentmen) (community)
- **Categories:** E-commerce, MCP servers, AI
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event + usage

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## rolex-mcp

Rolex resale listings aggregated from Fashionphile and Rebag public catalogs (prices in USD).

Served over the [Model Context Protocol](https://modelcontextprotocol.io) so any MCP client (Claude, Cursor, ChatGPT connectors, custom agents) can use it. Keyless: no third-party account or API key needed.

### Connect

Standby MCP endpoint (streamable HTTP):

```
https://mrfentmen--rolex-mcp.apify.actor/mcp
```

Authenticate with your Apify API token:

```
Authorization: Bearer <YOUR_APIFY_API_TOKEN>
```

### Tools

#### `search_listings`

Keyword search across Fashionphile and Rebag. Condition filter is Rebag-data only.

#### `list_newest`

Newest catalog listings, sorted by publish date.

#### `get_listing`

Full details: variants, images, parsed condition/color/material, description.

#### `price_overview`

Ask-price stats overall + by condition.

#### `compare_prices`

Group same-model listings across sources with min/max/spread.

#### `find_deals`

Available listings priced below the brand median.

#### `brand_overview`

Catalog sample counts by source, type and condition, e.g. how many Bags, Watches and Jewelry are listed.

#### `list_collections`

Curated store collections with handles for browse\_collection, e.g. sale or category collections.

#### `browse_collection`

Listings inside one collection handle from list\_collections, e.g. a sale or category collection.

#### `find_by_attribute`

Listings filtered by color, exterior material or condition, plus the common values in the sample.

### Pricing

[Pay per event](https://docs.apify.com/platform/actors/publishing/monetize). You only pay for what you use:

| Event | Price (USD) | When |
| --- | --- | --- |
| Tool call | $0.01 | Each MCP tool call |
| List request | $0.001 | Listing tools/resources/prompts |
| Resource request | $0.001 | Reading an MCP resource |
| Prompt request | $0.001 | Running an MCP prompt |
| Completion request | $0.0001 | MCP completion request |

### Data source

Public read-only API. This Actor never writes to your account and never asks for third-party credentials.

### Source

Built from the [ts-mcp-proxy](https://apify.com/templates/ts-mcp-proxy) template.

# Actor input Schema

## Actor input object example

```json
{}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mrfentmen/rolex-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("mrfentmen/rolex-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call mrfentmen/rolex-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrfentmen/rolex-mcp"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/5tHazIfNkGW7uk1Sb/builds/gDFlscMU4dQ97noPa/openapi.json