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Connect Hugging Face LLM to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Bring open-source model intelligence to your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 8 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through Hugging Face LLM.

  1. 01

    Text generation

    This capability generates text completions using open-source models like Mistral or Zephyr. It's great for creative writing or code tasks.

  2. 02

    Sentiment analysis

    This capability determines if a piece of text is positive or negative.

  3. 03

    Summarize text

    This capability condenses long articles, reports, or messages into short, readable versions.

  4. 04

    Fill mask

    This capability uses a masked language model to predict and fill in missing words within a sentence.

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through Hugging Face LLM.

  1. 05

    Classify text

    This capability uses zero-shot classification to sort text into categories you define. It doesn't require any prior training to work.

  2. 06

    Extract entities

    This capability pulls specific named entities like people, organizations, and locations out of your text.

  3. 07

    Answer question

    This capability extracts specific answers from a provided block of text. You give it context and a question, and it finds the fact you're looking for.

  4. 08

    Translate text

    This capability converts text from one language to another using the model's specific language capabilities.

Real work

What teams actually run

01

Customer Feedback Analysis

Your agent can automatically run sentiment analysis on support tickets to flag angry customers.

02

Automated Data Entry

Use entity extraction to pull names and locations from emails and put them into a database.

03

Content Moderation

Apply zero-shot classification to sort user comments into predefined categories.

04

Document Processing

Summarize long legal or technical reports to get the gist of the content quickly.

Automate a task

Put Hugging Face LLM to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Hugging Face LLM works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Hugging Face LLM to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

852ms average. Fast in production.

Hugging Face LLM is checked daily against the live service.

Daily averagePeak 1040ms
Oct 3Today
Fastest day
708ms
Slowest day
1040ms
14-day trend
Stable-1%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Hugging Face LLM, so you can see the experience inside your AI.

It does not authenticate your account with Hugging Face LLM. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Hugging Face LLM Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_zbTWzFwowtP0pHcPUmOocTmpJa2T64XmU3ZLvENh/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Hugging Face LLM capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "hugging-face-llm-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_zbTWzFwowtP0pHcPUmOocTmpJa2T64XmU3ZLvENh/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Hugging Face LLM in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Hugging Face LLM owners hand off.

This MCP is built for developers and power users who want to extend their AI agents with specialized NLP capabilities.

  • 01

    AI Engineers

    They use this to add specialized reasoning tasks to their agentic workflows.

  • 02

    Data Analysts

    They use this to automate the extraction of entities and sentiment from large datasets.

  • 03

    Software Developers

    They use this to integrate open-source LLM capabilities into their applications.

FAQ

Questions Hugging Face LLM owners ask.

  • 01

    Do I need to train my own models for classification?

    No. This MCP uses zero-shot classification, meaning you can define custom categories and it will work immediately without training.

  • 02

    Which models can I use with this MCP?

    You can use various open-source models, including Mistral and Zephyr, for text generation and other tasks.

  • 03

    Can I use this with Claude or Cursor?

    Yes. This MCP is compatible with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 04

    What is the difference between this and a standard LLM?

    This MCP provides specialized capabilities for specific tasks like entity extraction or sentiment analysis using diverse open-source models, rather than relying on one general-purpose model.

  • 05

    How do I get started?

    You connect to the Vinkius catalog once, and you'll have instant access to all the capabilities in this MCP.

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