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Vinkius
Vercel AI SDKSDK
Open WebUI MCP Server

Bring Llm Management
to Vercel AI SDK

Learn how to connect Open WebUI to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Add File To CollectionChat CompletedChat CompletionsCreate New ChatGet File StatusList ModelsOllama EmbedOllama GenerateOllama TagsProcess Web UrlSend MessageUpload File

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Open WebUI

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. Enter your Open WebUI Base URL and API Key
  3. Start managing your LLM infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • AI Engineers — automate the testing of different models and RAG configurations without leaving the terminal or IDE.
  • Knowledge Managers — quickly ingest documentation and web URLs into Open WebUI collections via simple commands.
  • DevOps Teams — monitor local Ollama instances and manage model availability across the organization.

Built-in capabilities (12)

add_file_to_collection

Add a file to a knowledge collection

chat_completed

Run outlet filters for completed chat

chat_completions

OpenAI-compatible chat completion

create_new_chat

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

get_file_status

Check file processing status

list_models

Retrieve all models

ollama_embed

Ollama API Embeddings

ollama_generate

Ollama API Generate Completion

ollama_tags

List Ollama models

process_web_url

Process a web URL into a collection

send_message

Anthropic-compatible message generation

upload_file

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

Why Vercel AI SDK?

The Vercel AI SDK gives every Open WebUI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

  • Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Open WebUI integration everywhere

  • Built-in streaming UI primitives let you display Open WebUI tool results progressively in React, Svelte, or Vue components

  • Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Open WebUI in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Open WebUI and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Open WebUI to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Open WebUI in Vercel AI SDK

The Open WebUI 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Open WebUI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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

The Vinkius Advantage

How Vinkius secures Open WebUI for Vercel AI SDK

Every tool call from Vercel AI SDK to the Open WebUI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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

You can use the list_models tool. 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 tool. 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'.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

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