# Otto.de MCP Server (`axlymxp/otto-mcp`) Actor

MCP server for otto.de — search products, browse categories, fetch full details and reviews live from Claude, Cursor and other AI agents.

- **URL**: https://apify.com/axlymxp/otto-mcp.md
- **Developed by:** [axly](https://apify.com/axlymxp) (community)
- **Categories:** AI, E-commerce, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Otto.de MCP Server

Query **otto.de** products, prices, and reviews live from **Claude, Cursor, n8n,** or any MCP-compatible AI agent — without writing a single line of scraping code.

### What it does

Runs as an MCP (Model Context Protocol) server on the Apify platform. Connect it once; your AI agent can then search otto.de products, browse categories, fetch full product details (GTIN, description, all images), and retrieve customer reviews — all in real time, as live tool calls.

### Who uses this

- **AI/agent developers** — embed live otto.de product lookup into RAG pipelines, shopping assistants, and price-monitoring agents
- **Claude / Cursor users** — ask about otto.de products directly in your IDE or chat without leaving your workflow
- **PropTech & SaaS developers** — compose otto.de data into larger LLM workflows, n8n automations, or custom agents

### MCP Tools

| Tool | Description |
|---|---|
| `search_otto_products` | Keyword search — returns name, price, brand, rating, availability, image |
| `browse_otto_category` | Browse a category path (e.g. `/moebel/sofas/`) |
| `get_otto_product` | Full product detail for any URL — GTIN/EAN, SKU, description, all images, return policy |
| `get_otto_reviews` | Customer reviews for a product ID |
| `get_otto_suggestions` | Search autocomplete suggestions |

#### Example tool call

```
search_otto_products(keywords="ecksofa grau", limit=5, sort="price_asc")
```

Returns:

```json
{
    "query": "ecksofa grau",
    "count": 5,
    "results": [
        {
            "name": "VASAGLE Ecksofa L-Form 244 cm",
            "price": "339.99",
            "currency": "EUR",
            "brand": "VASAGLE",
            "availability": "InStock",
            "rating": "4",
            "url": "https://www.otto.de/p/vasagle-..."
        }
    ]
}
```

### Connect to Claude

1. Deploy the actor on Apify in **Standby mode**.
2. Copy the Standby URL (format: `https://<id>.apify.actor`).
3. In Claude's MCP settings, add a remote server:
   ```
   URL: https://<id>.apify.actor/mcp
   Transport: Streamable HTTP
   ```
4. Ask Claude: *"Search otto.de for a grey corner sofa under €400"* — it calls the tool live.

### Connect to Cursor / VS Code

Add to your MCP config:

```json
{
    "mcpServers": {
        "otto-de": {
            "url": "https://<id>.apify.actor/mcp",
            "transport": "streamable-http"
        }
    }
}
```

### One-shot scrape mode

Provide `keywords` in the input to run a classic one-shot scrape and push results to a dataset instead of starting the MCP server. Useful for scheduled batch jobs.

```json
{ "keywords": "laptop 16 zoll", "limit": 100 }
```

### Input parameters (one-shot mode)

| Parameter | Type | Default | Description |
|---|---|---|---|
| `keywords` | string | — | Search query for one-shot run |
| `limit` | integer | 50 | Max results in one-shot mode |

### Scheduling & integrations

Schedule a daily one-shot run to keep a dataset fresh. Use webhooks to trigger downstream workflows in Make, Zapier, or n8n when the run completes.

### FAQ

**How is this different from the otto-scraper?** This actor is an always-on MCP server — your AI agent calls it live, like an API. The [otto-scraper](https://apify.com/axlymxp/otto-scraper) is a batch tool that runs once and saves to a dataset.

**Does `get_otto_product` handle Kasada anti-bot?** Yes — it uses the Android app cookie trick to bypass Kasada on product detail pages without a browser.

**Can I query any otto.de category?** Yes — pass any category path like `/computer/laptops/` or `/sport-freizeit/fahrraeder/` to `browse_otto_category`.

**What is the per-call cost?** Each MCP tool call is charged as one Pay-Per-Event unit (see the Store listing for current prices). There is no monthly fee.

# Actor input Schema

## `keywords` (type: `string`):

Optional: run a one-shot keyword search and push results to the dataset instead of starting the MCP server. Leave empty to run as MCP server.

## `limit` (type: `integer`):

Max results to return in one-shot mode. Ignored in MCP server mode.

## Actor input object example

```json
{
  "keywords": "ecksofa",
  "limit": 50
}
```

# 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("axlymxp/otto-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("axlymxp/otto-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 axlymxp/otto-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=axlymxp/otto-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2VI5KRE8r4zkjA37w/builds/Xj7Vf6ouTupbkaKvl/openapi.json