> ## Documentation Index
> Fetch the complete documentation index at: https://docs.unstructured.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Unstructured Transform MCP server installation for Claude Code

> Learn how to install the Unstructured Transform MCP server into Claude Code. You can then point to your files and have Transform start producing partitioned, enriched, chunked, and embedded data based on your files in minutes.

## Requirements

Before you begin, you must have the following:

* A Claude plan. To see if you have a plan, [sign in to Claude](https://claude.ai/login) and then on the sidebar, click your user icon. [Sign up for Claude](https://claude.ai/login).
* Claude Code installed on your local development machine. To see if it is, from your terminal, run `claude -v` or `claude --version`. [Install Claude Code from your terminal](https://code.claude.com/docs/en/quickstart).
* Node.js installed on your local development machine. To see if it is, in your terminal, run `node -v` or `node --version`. [Install Node.js](https://nodejs.org/en/download).

## Install the Transform MCP server

<Tip>
  You should be able to instruct Claude Code to install the Transform MCP server by asking Claude Code the following:

  ```text theme={null}
  Install the Unstructured Transform MCP server by using these instructions: 
  https://docs.unstructured.io/transform/install/claude-code.mdx
  ```

  If this does not work, to install the Transform MCP server manually, complete the following steps.

  If you are able to successfully connect, skip ahead to [parse your source files](#parse-your-source-files).
</Tip>

1. From your terminal, register the Transform MCP server:

   ```bash theme={null}
   claude mcp add -s user transform -- npx -y mcp-remote https://mcp.transform.unstructured.io
   ```

2. Allow access to the `mcp.transform.unstructured.io` domain by using a text editor to add the following setting to your Claude `settings.json` file as a top-level object:

   ```json theme={null}
   {
     "mcpServers": {
       "transform": {
         "...": "..."
       }
     },
     "sandbox": {
       "enabled": true,
       "network": {
         "allowedDomains": [
           "mcp.transform.unstructured.io"
         ]
       }
     }
   }
   ```

   This Claude `settings.json` file can typically be found in the following location:

   * macOS and Linux: `~/.claude/settings.json`
   * Windows: `%APPDATA%\Claude\settings.json`

   However, see [Claude Code settings](https://code.claude.com/docs/en/settings) in the Claude Code documentation.

3. From your terminal, authenticate with the Transform MCP server:

   ```bash theme={null}
   npx -y mcp-remote https://mcp.transform.unstructured.io
   ```

   A web browser tab will appear, prompting you to authenticate with Transform. Follow the on-screen directions to finish authenticating.

4. After you authenticate, back in your terminal, press `Ctrl + C` to exit and return to your terminal prompt.

5. Start a Claude Code session by running the `claude` command.

6. 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](/transform/supported-file-types).
* 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 Claude Code about these limits. Because of this, Claude Code should notify you whenever it encounters a file that exceeds 50 MB in size. Also, Claude Code 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.

1. After you install the Transform MCP server and start a Claude Code session, from your terminal, switch to the folder on your local machine that stores the files you want Transform to parse.
2. Enter the following prompt:

   ```text theme={null}
   Use the Unstructured Transform MCP server to parse the files in this project.

   Provide the results as JSON files, one JSON file per source file.
   ```

   As needed, adapt the phrase `in this project` in the preceding prompt to indicate a more specific project folder. Also, as needed, guide Claude Code 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](/transform/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](/transform/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](mailto:sales@unstructured.io).
* For technical support, [request support](/support/request).