# AI Product Inspector - Image Classification & Analysis (`ntriqpro/vision-product-analyzer-mcp`) Actor

Analyze product images automatically. Classify items, inspect quality, and detect defects.

- **URL**: https://apify.com/ntriqpro/vision-product-analyzer-mcp.md
- **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community)
- **Categories:** MCP servers, AI, E-commerce
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

## Vision Product Analyzer MCP

Real MCP server for Claude Desktop. Classify product images, inspect quality for defects, and analyze products comprehensively.

- **Model**: Qwen2.5-VL (Apache 2.0 License)
- **Pricing**: Pay-Per-Event ($0.05, $0.10, $0.10)
- **Connect**: Standby URL in Claude Desktop

### Features

#### 1. Classify Product
Classify product images and extract key information.

````

Tool: classify\_product
Input: imageUrl (URL of product image)
Output:

- category (main category)
- subcategory
- tags (array of up to 5 tags)
- condition (new | used | refurbished | damaged)
- brand\_visible (boolean)
- brand\_name (detected brand or null)
  Price: $0.05

````

**Example:**
```json
{
  "category": "Electronics",
  "subcategory": "Smartphones",
  "tags": ["Apple", "iPhone", "Used", "Screen Protected"],
  "condition": "used",
  "brand_visible": true,
  "brand_name": "Apple"
}
````

#### 2. Inspect Quality

Inspect product images for quality issues and defects.

```
Tool: inspect_quality
Input: imageUrl (URL of product image)
Output:
  - overall_quality (excellent | good | acceptable | poor | defective)
  - defects_found (array of defect objects)
    - type (scratch, dent, crack, etc.)
    - severity (minor | moderate | severe)
    - location (description of location)
  - quality_score (1-10)
  - recommendation (pass | review | reject)
Price: $0.10
```

**Example:**

```json
{
  "overall_quality": "good",
  "defects_found": [
    {
      "type": "scratch",
      "severity": "minor",
      "location": "bottom left corner"
    }
  ],
  "quality_score": 8,
  "recommendation": "pass"
}
```

#### 3. Analyze Product

Comprehensive product analysis covering description, features, market positioning, and pricing.

```
Tool: analyze_product
Input: imageUrl (URL of product image)
Output:
  - analysis (structured text analysis including)
    - Product Description
    - Key Features
    - Target Market
    - Estimated Price Range
    - Condition Assessment
    - Competitive Positioning
Price: $0.10
```

**Example Output:**

```
Product Description: Premium smartphone in excellent condition
Key Features: High-end processor, OLED display, 5G capable, 256GB storage
Target Market: Tech enthusiasts, professionals seeking premium devices
Estimated Price Range: $700-$900
Condition Assessment: Used but well-maintained
Competitive Positioning: Mid-range premium segment, strong competition from similar devices
```

### Connection (Claude Desktop)

1. In Claude Desktop → Settings → Developer
2. Add this server:
   ```json
   {
     "vision-product-analyzer-mcp": {
       "url": "https://ntriqpro--vision-product-analyzer-mcp.apify.actor/mcp",
       "type": "stdio"
     }
   }
   ```
3. Or use the Standby URL directly in MCP configuration

### Usage in Claude

```
Classify this product image: https://example.com/product.jpg
Inspect this product for defects: https://example.com/item.jpg
Analyze this product comprehensively: https://example.com/good.jpg
```

### Local Development

```bash
npm install
npm start
## Server runs on http://localhost:3000/mcp
```

### Testing

```bash
## Local
curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/list"
  }'

## Cloud (Standby URL)
curl -X POST "https://ntriqpro--vision-product-analyzer-mcp.apify.actor/mcp?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/list"
  }'
```

### Pricing

| Tool | Price |
|------|-------|
| classify\_product | $0.05 |
| inspect\_quality | $0.10 |
| analyze\_product | $0.10 |

Billed per successful call. Errors do not incur charges.

### Powered By

- **Qwen2.5-VL** - Apache 2.0 License - Multi-modal vision language model for product analysis
- **MCP SDK** - Model Context Protocol for Claude Desktop integration
- **Apify** - Serverless actor runtime with MCP support

### License

Apache 2.0 (Qwen2.5-VL attribution)

### Support

For issues or feedback, contact the development team.

***

### 🔗 Related Actors by ntriqpro

Extend this actor with the ntriqpro intelligence network:

- [**supply-chain-risk-mcp**](https://apify.com/ntriqpro/supply-chain-risk-mcp) — MCP server for supply chain risk
- [**video-intelligence-mcp**](https://apify.com/ntriqpro/video-intelligence-mcp) — MCP server for video intelligence
- [**content-factory-mcp**](https://apify.com/ntriqpro/content-factory-mcp) — MCP server for content-factory

### ⭐ Love it? Leave a Review

Your rating helps professionals discover this actor. [Rate it here](https://apify.com/ntriqpro/vision-product-analyzer-mcp/reviews).

# Actor input Schema

## `standbyTimeout` (type: `integer`):

How long (in seconds) the MCP server stays active waiting for tool calls before shutting down. Default is 300 seconds (5 minutes). Increase for long-running sessions.

## `logLevel` (type: `string`):

Controls how much detail appears in the Actor log. Use 'info' for normal operation, 'debug' for troubleshooting, or 'error' for minimal output.

## Actor input object example

```json
{
  "standbyTimeout": 300,
  "logLevel": "info"
}
```

# 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 = {
    "standbyTimeout": 300,
    "logLevel": "info"
};

// Run the Actor and wait for it to finish
const run = await client.actor("ntriqpro/vision-product-analyzer-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 = {
    "standbyTimeout": 300,
    "logLevel": "info",
}

# Run the Actor and wait for it to finish
run = client.actor("ntriqpro/vision-product-analyzer-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 '{
  "standbyTimeout": 300,
  "logLevel": "info"
}' |
apify call ntriqpro/vision-product-analyzer-mcp --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "AI Product Inspector - Image Classification & Analysis",
        "description": "Analyze product images automatically. Classify items, inspect quality, and detect defects.",
        "version": "1.0",
        "x-build-id": "GivxLEXDVJMHYzDjH"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/ntriqpro~vision-product-analyzer-mcp/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-ntriqpro-vision-product-analyzer-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/ntriqpro~vision-product-analyzer-mcp/runs": {
            "post": {
                "operationId": "runs-sync-ntriqpro-vision-product-analyzer-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/ntriqpro~vision-product-analyzer-mcp/run-sync": {
            "post": {
                "operationId": "run-sync-ntriqpro-vision-product-analyzer-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "standbyTimeout": {
                        "title": "Standby Timeout (seconds)",
                        "minimum": 60,
                        "maximum": 3600,
                        "type": "integer",
                        "description": "How long (in seconds) the MCP server stays active waiting for tool calls before shutting down. Default is 300 seconds (5 minutes). Increase for long-running sessions."
                    },
                    "logLevel": {
                        "title": "Log Level",
                        "enum": [
                            "info",
                            "debug",
                            "error"
                        ],
                        "type": "string",
                        "description": "Controls how much detail appears in the Actor log. Use 'info' for normal operation, 'debug' for troubleshooting, or 'error' for minimal output."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```