Requirements
Before you begin, you must have the following:- A Devin account. To see if you have a plan, log in to your Devin account. Sign up for Devin.
- The Devin CLI installed on your local development machine. Install the Devin CLI.
Install the Transform MCP server
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From your terminal, run the following command to add and 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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The Devin CLI writes these MCP server settings to the following file by default:
- For macOS and Linux:
.devin/config.local.json - For Windows:
.devin\config.local.json
- For macOS and Linux:
- 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, from your terminal, switch to the folder that stores the files you want Transform to parse.
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Start a Devin CLI session by running the
devincommand. -
From your terminal, enter the following prompt:
As needed, adapt the phrase
in this projectin the preceding prompt to indicate a more specific project folder. Also, as needed, guide the Devin CLI 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 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.

