# MFT Initiated Send

To create MFT initiated send profile double click on the respective user under Onboarding

<figure><img src="/files/PWgOvlzLPyvBjMHKrbMo" alt=""><figcaption></figcaption></figure>

Click on + icon on the top right corner

<figure><img src="/files/uHQVr9g9m3sUbmFVCqYG" alt=""><figcaption></figcaption></figure>

Select AZURE ADLS as Protocol, Type as MFT initiated and operation as upload

<figure><img src="/files/czOp8crIlZJYLVAhux6n" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/Etr4Dw9oLhDPd6iVDGXf" alt=""><figcaption></figcaption></figure>

* Give details and click save
  1. Account Name : Account Name for the Azure
  2. Tenant ID: Tenant ID of the Azure user
  3. Client ID: client ID of the Azure user
  4. Client Secret : Client Secret of the Azure user
  5. Container Name: Name of the container
  6. Upload Path: path to upload files
  7. Message to Process: option to process the original or current message
  8. Proxy Required: Option to open connections via proxy server
  9. Proxy URL: Proxy server URL (If proxy was enabled)
  10. Proxy User Name: Proxy user name (If proxy was enabled)
  11. Proxy Password: Proxy password (If proxy was enabled)
  12. Cleanup on Delivery: Option to clean the file system after the file was delivered (Once the file is cleaned, we cannot redeliver the file again)&#x20;

we can see the profile onboarded in AMF

<figure><img src="/files/95YdRBjtq98g5BwItCMw" alt=""><figcaption></figcaption></figure>

**Note**: We wont see the status as completed because it wont onboard in an platforms


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://amfdocs.mftlabs.io/agile-messaging-framework/concepts/communication-profiles/azure-adls/mft-initiated/mft-initiated-send.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.