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MCP server · AI

Tensor.hf MCP

by · github.com/manavX92/Tensor.hf_MCP

HuggingFace integration for Cursor using the Model Context Protocol (MCP)

Unclaimed last commit a year ago ai
InstallView source
34Low

Scored a month ago · breakdown

About Tensor.hf MCP

Tensor.hf MCP is an MCP server published by manavX92 in the AI category: huggingFace integration for Cursor using the Model Context Protocol (MCP).

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/manavX92/Tensor.hf_MCP

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (8)

get_recommended_modelsGet recommended models for a specific task

Parameters not published.

image_classificationClassify images using a vision model

Parameters not published.

image_generationGenerate images using a text-to-image model

Parameters not published.

question_answeringAnswer questions based on context

Parameters not published.

search_modelsSearch for models on HuggingFace Hub

Parameters not published.

summarizationSummarize text

Parameters not published.

text_generationGenerate text using a text generation model

Parameters not published.

translationTranslate text between languages

Parameters not published.

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Questions

About Tensor.hf MCP

How do I install Tensor.hf MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Tensor.hf MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Tensor.hf MCP still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.