Unstructured Transform MCP server installation for Grok

Requirements

Before you begin, you must have the following:

A Grok account. To see if you have one, sign in to Grok. Sign up for Grok.

Install the Transform MCP server

To connect and authenticate the Transform MCP server:

Go to Connectors on grok.com, click New Connector, and then click Custom.
Specify Name and Server URL, and then click Add Connector.
- Name: Unstructured Transform
- Server URL: https://mcp.transform.unstructured.io
Follow the on-screen directions to authenticate with Transform. If you do not have a Transform account, click Register and then follow the on-screen directions to finish authenticating. After you finish authenticating, the Transform MCP server is ready for you to start using.

Parse your source files

Parsing requests have the following limits:

Each file must be of a supported file type.
Each file must be 50 MB or less in size.
Each request must have 10 files or fewer.
Only 5 requests can be running at a time.

The Transform MCP server is designed to notify Grok about these limits. Because of this, Grok should notify you whenever it encounters a file that exceeds 50 MB in size. Also, Grok should formulate strategies to send requests that are 10 files or fewer and not cause more than 5 requests to be running at a time.

In Grok, click New Chat.
Add the files you want Transform to parse to your chat session. To do this, next to the message prompt, click the plus icon, and then follow the on-screen directions to finish adding the files.
From your chat message prompt, ask the following:
Use the Unstructured Transform MCP server to parse the attached files. Provide the results as downloadable JSON files, one JSON file per source file.
Transform parses your input files and delivers its results to Grok as a set of downloadable output files, one output file per input file.

Extract structured data

If you want to pull specific fields from your files, instead of converting the files in full, ask for an extraction. To determine what structured data Transform can extract from your files, use a prompt similar to the following:

Use the Unstructured Transform MCP server to extract structured data from these files.

I don't have a schema — suggest one based on what's in the document, show it to me, and then run the extraction with it.

Your tool parses each file first, then extracts the field values from the parsed element JSON; this is because the Transform MCP extraction tools read a file’s parsed output, rather than the raw file itself. Transform returns results as JSON matching the schema, wrapped with the source filename so you can tell a batch apart. If you know the specific fields you want, include them in your prompt to guide Transform in extracting just the information that’s important to you. For more information, including prompting patterns and performance considerations, see Structured data extraction.

Next steps

Control Transform file parsing output: Control how the Unstructured Transform MCP server instructs Transform to partition, enrich, chunk, and embed the data based on your files.
Control Transform structured data extraction: Control how the Unstructured Transform MCP server extracts and formats structured data from your files.
Control Transform generated sample code: Control how the Unstructured Transform MCP server generates sample curl or Python code that demonstrates how to use Transform to partition, enrich, chunk, and embed the data based on your files.

Questions? Need help?

For technical support, request support.

​Requirements

​Install the Transform MCP server

​Parse your source files

​Extract structured data

​Next steps

​Questions? Need help?