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How to install HuggingFace New Model Release Tracker (hfmodelwatch) in ChatGPT

To use HuggingFace New Model Release Tracker (hfmodelwatch) in ChatGPT, add its hosted URL (https://a2awire.com/mcp/data/huggingface-new-model-release-tracker-hfmodelwatch-3fa69f/http) as a custom connector under Settings, Connectors, then sign in if asked.

Built from the published package · server updated 1 month ago

  1. 1

    Copy the server URL

    This is the hosted endpoint ChatGPT connects to:

    https://a2awire.com/mcp/data/huggingface-new-model-release-tracker-hfmodelwatch-3fa69f/http
  2. 2

    Add a custom connector

    In ChatGPT, open Settings, then Connectors (Apps and connectors), and add a custom connector with this URL. Some plans need developer mode turned on first.

  3. 3

    Sign in if asked

    If the server uses OAuth, ChatGPT opens a sign-in page. Then pick the connector from the tools menu in a chat.

MCP servers run with your permissions. If HuggingFace New Model Release Tracker (hfmodelwatch) needs an API key, add it under env in the config. Check its README.

Install HuggingFace New Model Release Tracker (hfmodelwatch) in another app

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Questions

Does HuggingFace New Model Release Tracker (hfmodelwatch) work in ChatGPT?

Yes. ChatGPT supports remote (hosted) mcp servers only, as plugins or custom connectors, and HuggingFace New Model Release Tracker (hfmodelwatch) installs with the steps above.

HuggingFace New Model Release Tracker (hfmodelwatch) does not show up in ChatGPT. What now?

Restart ChatGPT fully, check the JSON is valid, and make sure Node.js (for npx) is installed. See common MCP errors and fixes.

Is HuggingFace New Model Release Tracker (hfmodelwatch) safe?

It scores 15 of 100. Review the code before you install it, and only give it the access it needs. Grades and details.