# Connecting ML headset to PC via remote routing

**URL:** <https://forum.magicleap.cloud/t/connecting-ml-headset-to-pc-via-remote-routing/6214>\
**Category:** Unity Development\
**Created:** [August 15, 2025, 8:07pm UTC](https://forum.magicleap.cloud/t/connecting-ml-headset-to-pc-via-remote-routing/6214 "2025-08-15T20:07:15Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![daisy.t.gan1](https://avatars.discourse-cdn.com/v4/letter/d/43a26b/32.png) [@daisy.t.gan1](https://forum.magicleap.cloud/u/daisy.t.gan1)\
**Post date:** [August 15, 2025, 8:07pm UTC](https://forum.magicleap.cloud/t/connecting-ml-headset-to-pc-via-remote-routing/6214/1 "2025-08-15T20:07:15Z")

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Give us as much detail as possible regarding the issue you’re experiencing:

Unity Editor version (if applicable): 2022.3.11f1

ML2 OS version:1.5.0 using open XR though MLSDK version: 1.9.0

I want to connect the PC and ML headset together so that when I post/get https requests made from this code provided below, I will run a python script and return an output back to the ML and Unity project. We have used a personal hotspot so far to replace the IP address, but we are trying to run this on a larger scale for longer time periods and cannot use the hotspot for that long. I wanted to connect the ML and PC via USB-C tethering using this [manual](https://developer-docs.magicleap.cloud/docs/guides/remote-rendering/network-configurations/#using-usb-networking). I unfortunately do not have an account to link the two. I have a router as well that I can use to connect, but without WiFi. I do not have an ethernet cable to connect the ML to the router. If anyone has a solution to the problem that might not require too much spending on extra parts, please let me know. Or, let me know if there is a solution and I will buy the parts necessary to solve the problem.

> ```
> string gazeDataString;
> 
> public TextMeshPro m_TextComponent;
> 
> public async void GetCaptions()
> 
> {
> 
> //startRecording += 1;
> 
> Debug.Log("get captions");
> 
> //m_TextComponent = GetComponent<TMP_Text>();
> 
> // Change the text on the text component.
> 
> //m_TextComponent.text = "Some new line of text.";
> 
> var client = new HttpClient();
> 
> var request = new HttpRequestMessage(HttpMethod.Post, "http://169.254.161.11:8000/optimization/upload");
> 
> // Convert the gazeData list to a single string (you might want to format it differently)
> 
> gazeDataString = string.Join("\\n", alertSpawner5.buffergazeData);
> 
> //gazeDataString = string.Join("\\n", alertSpawner5.gazeData); // Join with newline characters from alertspawner, 
> 
> //if need to clear data, can find a way to do that
> 
>     
> 
> // Create a StringContent object with the string data
> 
> var stringContent = new StringContent(gazeDataString, Encoding.UTF8, "text/plain"); // Adjust encoding and content type if needed
> 
> alertSpawner5.buffergazeData.Clear();
> 
> // Set the Content property of the request to the StringContent object
> 
> request.Content = stringContent;
> 
> var response = await client.SendAsync(request);
> 
> response.EnsureSuccessStatusCode();
> 
> // Txt file content
> 
> responseJson = await response.Content.ReadAsStringAsync(); //this reads the string, if it is just a cog load variable change if needed
> 
> cogLoadReturnedValue = float.Parse(responseJson); //refer to this in the optimization function
> 
> //m_TextComponent.text = $"cog load returned value {cogLoadReturnedValue}";
> 
> // ReadStringInput(responseJson);
> 
> //var authResponse = JsonUtility.FromJson<videoInfo>(responseJson);
> 
> //textMesh.text = authResponse.captions;
> 
> //speechBubbleText.text = authResponse.captions;
> 
> //startRecording += 1;
> 
> Debug.Log("COUNT BEFORE: " + alertSpawner5.gazeData.Count);
> 
> //WriteString(gazeDataString);
> 
> alertSpawner5.buffergazeData.Clear();
> 
> Debug.Log("COUNT AFTER: " + alertSpawner5.gazeData.Count);
> 
> //could technically add updateoptimization here
> 
> }
> 
> ```

---

<div class="post-metadata">

**Author:** ![daisy.t.gan1](https://avatars.discourse-cdn.com/v4/letter/d/43a26b/32.png) [@daisy.t.gan1](https://forum.magicleap.cloud/u/daisy.t.gan1)\
**Post date:** [August 21, 2025, 7:12pm UTC](https://forum.magicleap.cloud/t/connecting-ml-headset-to-pc-via-remote-routing/6214/2 "2025-08-21T19:12:19Z")

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Hello, I wanted to say that I have found a solution and just used the Magic Leap’s internal hotspot to connect to my computer. I wanted to ask a follow up question about how much data the ML device has?