Requirements
Before you begin, you must have the following:- A Cursor plan. To see if you have a plan, sign in to your Cursor Dashboard. Sign up for Cursor.
- The Cursor IDE installed on your local development machine. Install the Cursor IDE.
- Node.js installed on your local development machine. To see if it is, in your terminal, run
node -vornode --version. Install Node.js.
Install the Transform MCP server
- Start the Cursor IDE.
- On the menu bar, click Cursor > Preferences > Cursor Settings.
- On the Cursor Settings sidebar, click Tools & MCPs.
-
In the Installed MCP Servers tile, click Add Custom MCP or New MCP Server.
The Cursor IDE opens its
mcp.jsonsettings file in a new editor tab. This file is typically located at:- For macOS and Linux:
~/.cursor/mcp.json - For Windows:
%APPDATA%\Cursor\mcp.json
- For macOS and Linux:
-
Add the following entry to the
mcpServersobject: -
Save and close the
mcp.jsonfile. - Quit the Cursor IDE.
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From your terminal, authenticate with the Transform MCP server:
A web browser tab will appear, prompting you to authenticate with Transform. Follow the on-screen directions to finish authenticating.
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After you authenticate, back in your terminal, press
Ctrl + Cto exit and return to your terminal prompt. - Restart the Cursor IDE.
- 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.
- After you install the Transform MCP server and restart the Cursor IDE, open the folder that stores the files you want Transform to parse (from the main menu, click File > Open Folder).
- In the Command Palette (from the main menu, click View > Command Palette), start typing
>Open New, and then click Open New Agent Chat. - In the New Agent tab, enter the following prompt:
in this project in the preceding prompt to indicate a more specific project folder. Also, as needed, guide the Cursor IDE as to where to write Transform’s output into the project.
Transform parses your input files and delivers its results to you as a set of output files, one output file per input file.
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 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 general questions about Unstructured products and pricing, email Unstructured Sales at sales@unstructured.io.
- For technical support, request support.

