Transform MCP

by Unstructured

Recommended SSE
1.8k downloads
Not rated
Website

About

The Unstructured Transform MCP Server connects your ADK agent to Unstructured, a document processing platform that turns raw files into structured, AI-ready data. This integration gives your agent the ability to parse PD

Details

Author
Unstructured
Downloads
1,846
Transport
SSE
Categories
AI

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Transform MCP
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

{
  "mcpServers": {
    "remote-server": {
      "type": "http",
      "url": "https://mcp.transform.unstructured.io"
    }
  }
}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "transform mcp": {
            "remote-server": {
                "type": "http",
                "url": "https://mcp.transform.unstructured.io"
            }
        }
    }
}

McpServers

{
    "remote-server": {
        "type": "http",
        "url": "https://mcp.transform.unstructured.io"
    }
}

The Unstructured Transform MCP Server connects your ADK agent to Unstructured, a document processing platform that turns raw files into structured, AI-ready data. This integration gives your agent the ability to parse PDFs, Office documents, emails, images, and scanned files (40+ supported file types in total) into partitioned, enriched, chunked, and embedded output using natural language. Transform is a hosted remote MCP server, so there is nothing to install or run locally.

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