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Open WebUI MCP Server for VS Code CopilotGive VS Code Copilot instant access to 12 tools to Add File To Collection, Chat Completed, Chat Completions, and more

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Ask AI about this MCP Server for VS Code Copilot

The Open WebUI MCP Server for VS Code Copilot is a standout in the Loved By Devs category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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Classic Setup·json
{
  "mcpServers": {
    "open-webui": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Open WebUI and 4,000+ MCP Servers from a single visual interface.

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Open WebUI
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Open WebUI MCP Server

Connect your Open WebUI instance to any AI agent and take full control of your local and cloud LLM orchestration through natural conversation.

GitHub Copilot Agent mode brings Open WebUI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Model Management — Use list_models to fetch all available models including Ollama, OpenAI, and Open WebUI Functions.
  • RAG & Knowledge Base — Upload files with upload_file, process web content via process_web_url, and organize them into collections using add_file_to_collection.
  • Chat Orchestration — Create and manage backend-controlled chats with create_new_chat or use OpenAI/Anthropic compatible endpoints like chat_completions and send_message.
  • Native Ollama Support — Directly interact with the Ollama API using ollama_generate, ollama_tags, and ollama_embed for local inference tasks.
  • File Processing — Monitor the status of your document ingestion with get_file_status to ensure your RAG context is ready.

The Open WebUI MCP Server exposes 12 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Open WebUI tools available for VS Code Copilot

When VS Code Copilot connects to Open WebUI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-management, rag, model-inference, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add file to collection on Open WebUI

Add a file to a knowledge collection

chat

Chat completed on Open WebUI

Run outlet filters for completed chat

chat

Chat completions on Open WebUI

OpenAI-compatible chat completion

create

Create new chat on Open WebUI

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

get

Get file status on Open WebUI

Check file processing status

list

List models on Open WebUI

Retrieve all models

ollama

Ollama embed on Open WebUI

Ollama API Embeddings

ollama

Ollama generate on Open WebUI

Ollama API Generate Completion

ollama

Ollama tags on Open WebUI

List Ollama models

process

Process web url on Open WebUI

Process a web URL into a collection

send

Send message on Open WebUI

Anthropic-compatible message generation

upload

Upload file on Open WebUI

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

Connect Open WebUI to VS Code Copilot via MCP

Follow these steps to wire Open WebUI into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using Open WebUI

Ask Copilot: "Using Open WebUI, help me...". 12 tools available

Why Use VS Code Copilot with the Open WebUI MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Open WebUI through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Open WebUI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Open WebUI MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Open WebUI in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Open WebUI immediately.

01

"List all models available in my Open WebUI instance."

02

"Process the URL 'https://docs.openwebui.com/' into my 'Documentation' collection."

03

"Generate a response using the 'llama3' model for the prompt 'Explain quantum computing'."

Troubleshooting Open WebUI MCP Server with VS Code Copilot

Common issues when connecting Open WebUI to VS Code Copilot through Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Open WebUI + VS Code Copilot FAQ

Common questions about integrating Open WebUI MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

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