Open WebUI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add File To Collection, Chat Completed, Chat Completions, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Open WebUI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Open WebUI MCP Server for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Open WebUI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
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.
What you can do
- Model Management — Use
list_modelsto fetch all available models including Ollama, OpenAI, and Open WebUI Functions. - RAG & Knowledge Base — Upload files with
upload_file, process web content viaprocess_web_url, and organize them into collections usingadd_file_to_collection. - Chat Orchestration — Create and manage backend-controlled chats with
create_new_chator use OpenAI/Anthropic compatible endpoints likechat_completionsandsend_message. - Native Ollama Support — Directly interact with the Ollama API using
ollama_generate,ollama_tags, andollama_embedfor local inference tasks. - File Processing — Monitor the status of your document ingestion with
get_file_statusto ensure your RAG context is ready.
The Open WebUI MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 file to collection on Open WebUI
Add a file to a knowledge collection
Chat completed on Open WebUI
Run outlet filters for completed chat
Chat completions on Open WebUI
OpenAI-compatible chat completion
Create new chat on Open WebUI
Must generate UUIDs for message IDs. Create a new chat (Backend-Controlled Flow)
Get file status on Open WebUI
Check file processing status
List models on Open WebUI
Retrieve all models
Ollama embed on Open WebUI
Ollama API Embeddings
Ollama generate on Open WebUI
Ollama API Generate Completion
Ollama tags on Open WebUI
List Ollama models
Process web url on Open WebUI
Process a web URL into a collection
Send message on Open WebUI
Anthropic-compatible message generation
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 Vercel AI SDK via MCP
Follow these steps to wire Open WebUI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Open WebUI MCP Server
Vercel AI SDK provides unique advantages when paired with Open WebUI through the Model Context Protocol.
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
Open WebUI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Open WebUI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Open WebUI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Open WebUI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Open WebUI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Open WebUI through natural language queries
Example Prompts for Open WebUI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Open WebUI immediately.
"List all models available in my Open WebUI instance."
"Process the URL 'https://docs.openwebui.com/' into my 'Documentation' collection."
"Generate a response using the 'llama3' model for the prompt 'Explain quantum computing'."
Troubleshooting Open WebUI MCP Server with Vercel AI SDK
Common issues when connecting Open WebUI to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpen WebUI + Vercel AI SDK FAQ
Common questions about integrating Open WebUI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
View all →
crm4 solution
12 toolsItalian lead management and call center CRM.
T-Test Statistics Engine
1 toolsRun exact Student's, Welch's, and Paired t-tests local. Get CPU-guaranteed p-values instead of LLM-hallucinated guesses.
Fly.io
10 toolsManage edge infrastructure via Fly.io — monitor apps and machines, scale compute horizontally, handle persistent volumes, and run remote commands directly from any AI agent.
Craft (Docs & Notes)
10 toolsManage collaborative docs via Craft.do — list documents, handle blocks, track tasks, and retrieve daily notes directly from any AI agent.