My Amazon Seller Bulk Reviews Actor-Delete

Using My Amazon Seller Bulk Reviews Actor-Delete via Model Context Protocol (MCP) server

MCP server lets you use My Amazon Seller Bulk Reviews Actor-Delete within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the My Amazon Seller Bulk Reviews Actor-Delete Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "amazon_url": "https://www.amazon.in/sp/?_encoding=UTF8&marketplaceID=A21TJRUUN4KGV&seller=AXOGFIT0PZZ7G",
8      "proxyConfiguration": {
9            "useApifyProxy": true
10      }
11},
12    "name": "getdataforme/my-amazon-seller-bulk-reviews-actor-delete"
13  }
14}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for My Amazon Seller Bulk Reviews Actor-Delete

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "getdataforme/my-amazon-seller-bulk-reviews-actor-delete"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.