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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Open WebUI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage your Open WebUI instance. list models, handle chat completions, and manage RAG collections directly from any AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 12 capabilities

The complete Open WebUI capability set.

These are the exact actions your AI can choose when you ask it to work with Open WebUI.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through Open WebUI.

  1. 01

    Ollama generate

    Ollama API Generate Completion

  2. 02

    Ollama tags

    List Ollama models

  3. 03

    Process web URL

    Process a web URL into a collection

  4. 04

    Create new chat

    Must generate UUIDs for message IDs. Create a new chat (Backend-Controlled Flow)

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through Open WebUI.

  1. 05

    Get file status

    Check file processing status

  2. 06

    List models

    Retrieve all models

  3. 07

    Ollama embed

    Ollama API Embeddings

  4. 08

    Add file to collection

    Add a file to a knowledge collection

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through Open WebUI.

  1. 09

    Chat completed

    Run outlet filters for completed chat

  2. 10

    Chat completions

    OpenAI-compatible chat completion

  3. 11

    Send message

    Anthropic-compatible message generation

  4. 12

    Upload file

    Content is extracted and stored in the vector DB. Provide file content as base64. Upload a file for RAG

Observed, not estimated

950ms average. Fast in production.

Open WebUI is checked daily against the live service.

Daily averagePeak 1089ms
Aug 29Today
Fastest day
856ms
Slowest day
1089ms
14-day trend
Improving-9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 12 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 Open WebUI, so you can see the experience inside your AI.

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

Open WebUI Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_YhwRL8adKsCUXpVOwybG0l7vG8Iky4FGyj9DhmOn/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 — Open WebUI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "open-webui-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YhwRL8adKsCUXpVOwybG0l7vG8Iky4FGyj9DhmOn/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

FAQ

Questions Open WebUI owners ask.

  • 01

    How can I check if a model is available in my Open WebUI instance?

    You can use the list_models capability. It will return a complete list of all configured models, including those from Ollama, OpenAI, and internal Open WebUI functions.

  • 02

    Can I add a website to my RAG collection using just a URL?

    Yes! Use the process_web_url capability. Provide the URL and the target collection name, and the server will scrape and index the content for you.

  • 03

    How do I know when my uploaded file is ready for querying?

    After using upload_file, you can check the ingestion progress by calling get_file_status with the returned File ID. It will tell you if the status is 'completed' or 'pending'.

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