> ## 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 Cline

> Learn how to install the Unstructured Transform MCP server into Cline. 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:

* Visual Studio Code installed on your local development machine. [Install Visual Studio Code](https://code.visualstudio.com/download).
* The Cline extension installed in Visual Studio Code. [Install Cline](https://cline.bot/).
* An Unstructured API key. [Get your Unstructured API key](/transform/code#get-your-unstructured-api-key-and-url).

## Install the Transform MCP server

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

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

  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. In Visual Studio Code, on the **Activity Bar**, click the **Cline** icon.

2. At the top of the **Cline** pane, click the **MCP Servers** icon.

3. Click the **Installed** tab, and then click **Configure MCP Servers**.

   Cline opens its `cline_mcp_settings.json` settings file in a new editor tab.

4. Add the following entry to the `mcpServers` object, replacing `<your-unstructured-api-key>` with your Unstructured API key:

   ```json theme={null}
   {
     "mcpServers": {
       "unstructured-transform": {
         "type": "streamableHttp",
         "url": "https://mcp.transform.unstructured.io",
         "headers": {
           "Authorization": "Bearer <your-unstructured-api-key>"
         },
         "disabled": false,
         "autoApprove": []
       }
     }
   }
   ```

   <Warning>
     Use the server URL exactly as shown. Do not add `/mcp` or `/sse` to the end of the URL.

     The `"type": "streamableHttp"` setting is required. Also, the `Authorization` value must start with `Bearer ` before your API key.
   </Warning>

5. Save the `cline_mcp_settings.json` file.

6. Back on the **Installed** tab, confirm that the **unstructured-transform** server shows a green status indicator and lists four tools: `request_file_upload_url`, `transform_files`, `check_transform_status`, and `get_transform_results`.

7. 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 Cline about these limits. Because of this, Cline should notify you whenever it encounters a file that exceeds 50 MB in size. Also, Cline 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, in Visual Studio Code, open the folder that stores the files you want Transform to parse (from the main menu, click **File > Open Folder**).
2. In the **Cline** pane, 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 Cline 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 technical support, [request support](/support/request).