# Trustpilot MCP Server \[PPR] (`zadexinho/trustpilot-mcp-server`) Actor

MCP server giving AI agents access to Trustpilot reviews, ratings, company profiles, and category data. 3 tools: get\_reviews, get\_company\_profile, browse\_category. Filter by stars, language, date, keyword. Connect from Claude, ChatGPT, Cursor, or any MCP client.

- **URL**: https://apify.com/zadexinho/trustpilot-mcp-server.md
- **Developed by:** [zadexinho](https://apify.com/zadexinho) (community)
- **Categories:** AI, MCP servers
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### Trustpilot MCP Server

MCP server that gives AI agents access to Trustpilot reviews, company profiles, and category data. Three tools: `get_reviews` returns reviews with text, ratings, reviewer info, and company replies. `get_company_profile` returns trust scores, star ratings, and review counts. `browse_category` finds companies in a Trustpilot category. Connect from Claude Desktop, ChatGPT, Cursor, or any MCP-compatible client.

### Available tools

| Tool | What it returns |
|------|----------------|
| `get_reviews` | Review text, star rating, language, date, verification status, reviewer name and country, company reply. Filter by stars, language, date range, keyword, or verified-only. Up to 100 reviews per call. |
| `get_company_profile` | Company name, domain, trust score, star rating, total review count, business categories, profile URL. |
| `browse_category` | Companies in a Trustpilot category with names, domains, trust scores, star ratings, and review counts. Up to 100 companies per call. |

### How to connect

#### Claude Desktop / Cursor / Windsurf

Add to your MCP settings:

```json
{
  "mcpServers": {
    "trustpilot": {
      "type": "url",
      "url": "https://zadexinho--trustpilot-mcp-server.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}
```

#### Via Apify MCP gateway

```json
{
  "mcpServers": {
    "apify": {
      "type": "url",
      "url": "https://mcp.apify.com?tools=zadexinho/trustpilot-mcp-server",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}
```

#### Python (OpenAI Agents SDK)

```python
from agents.mcp import MCPServerStreamableHttp

async with MCPServerStreamableHttp(
    name="Trustpilot",
    params={
        "url": "https://zadexinho--trustpilot-mcp-server.apify.actor/mcp",
        "headers": {"Authorization": "Bearer YOUR_APIFY_TOKEN"},
    },
) as server:
    tools = await server.list_tools()
    # → get_reviews, get_company_profile, browse_category
```

### Tool reference

#### get\_reviews

Get reviews for a company with optional filters.

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `company` | string | required | Company domain (e.g., "shopify.com") or Trustpilot URL |
| `max_reviews` | integer | 20 | Number of reviews to return (1-100) |
| `sort` | string | "recency" | Sort order: "recency" or "relevance" |
| `stars` | string | all | Comma-separated star ratings (e.g., "1,2" for negative) |
| `language` | string | all | Language code (e.g., "en", "de", "fr") |
| `date_range` | string | all time | "last30days", "last3months", "last6months", "last12months" |
| `search` | string | — | Keyword to search within reviews (e.g., "refund") |
| `verified_only` | boolean | false | Only return verified reviews |

#### get\_company\_profile

Get a company's Trustpilot profile summary.

| Parameter | Type | Description |
|-----------|------|-------------|
| `company` | string | Company domain (e.g., "apify.com") or Trustpilot URL |

Returns: name, domain, trustScore, stars, totalReviews, categories, profileUrl, totalPages.

#### browse\_category

Find companies listed in a Trustpilot category.

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `category_url` | string | required | Category URL or slug (e.g., "electronics") |
| `max_companies` | integer | 20 | Number of companies to return (1-100) |

### How much does it cost?

You are charged per tool call. Each call fetches data and returns structured results.

| Tier | Price per tool call | Price per 1,000 calls |
|------|--------------------|-----------------------|
| FREE | $0.005 | $5.00 |
| STARTER | $0.004 | $4.00 |
| SCALE | $0.003 | $3.00 |
| BUSINESS | $0.002 | $2.00 |

**Example:** Checking trust scores for 50 companies costs $0.25 on the FREE tier.

### Use cases

- Ask your AI assistant to summarize recent reviews for a competitor.
- Monitor customer sentiment by querying negative reviews with keyword filters.
- Compare trust scores across companies in a category.
- Build AI workflows that flag new negative reviews in real time.
- Feed review data into analysis pipelines without writing scraping code.
- Research companies during due diligence by pulling review summaries.
- Track review volume trends across your competitive landscape.

### FAQ

#### How fast are tool responses?

Most calls return in 1-5 seconds. Requesting more reviews (up to 100) takes slightly longer.

#### Do I need a Trustpilot account?

No. All data is publicly available on Trustpilot.

#### What's the difference between this and the Trustpilot Scraper?

The scraper is for batch jobs — thousands of reviews across many companies, exported as datasets. This MCP server is for real-time AI agent queries — focused results returned directly to your agent.

#### Can I use this with ChatGPT?

Yes. Any MCP-compatible client works. Configure the server URL and your Apify API token.

#### What if a company isn't on Trustpilot?

The tool returns an error message. Your agent can handle it and move on.

# Actor input Schema

## Actor input object example

```json
{}
```

# 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("zadexinho/trustpilot-mcp-server").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("zadexinho/trustpilot-mcp-server").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 zadexinho/trustpilot-mcp-server --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/9zcH0DIvC82JEQ9wb/builds/JXRhG5G4QYtndQXxB/openapi.json