AlisQI MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AlisQI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { 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 AlisQI, 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 AlisQI MCP Server
Connect your AlisQI instance to your AI agent to unlock professional quality management (QMS) orchestration. From auditing quality results and managing analysis sets to retrieving technical metadata for fields and monitoring workflow webhooks, your agent handles your quality operations through natural conversation.
The Vercel AI SDK gives every AlisQI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Results Orchestration — List, retrieve, and store quality results for any of your custom analysis sets
- Schema Discovery — List and audit analysis sets and their field definitions to understand your dynamic data model
- Document Oversight — Retrieve technical metadata for result attachments and monitor your quality documentation
- Workflow Monitoring — List active webhooks to ensure your quality event triggers (like non-conformities) are operational
- QMS Insights — Quickly identify quality trends or audit recent analysis entries directly from your chat interface
The AlisQI MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect AlisQI to Vercel AI SDK via MCP
Follow these steps to integrate the AlisQI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from AlisQI and passes them to the LLM
Why Use Vercel AI SDK with the AlisQI MCP Server
Vercel AI SDK provides unique advantages when paired with AlisQI 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 AlisQI integration everywhere
Built-in streaming UI primitives let you display AlisQI 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
AlisQI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AlisQI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AlisQI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AlisQI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AlisQI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AlisQI through natural language queries
AlisQI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect AlisQI to Vercel AI SDK via MCP:
get_analysis_set_details
Get set metadata
get_api_info
Check API status
get_result_attachments
List document attachments
get_result_details
Get specific result
list_active_webhooks
List active triggers
list_analysis_sets
List analysis sets
list_choice_lists
List selection menus
list_fields
List dynamic fields
list_results
Supports filtering. List quality results
store_results
Create or update results
Example Prompts for AlisQI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AlisQI immediately.
"List all analysis sets available in my AlisQI instance."
"Show the last 5 quality results for 'Raw Material Inspection'."
"Check if there are any active webhooks for non-conformities."
Troubleshooting AlisQI MCP Server with Vercel AI SDK
Common issues when connecting AlisQI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAlisQI + Vercel AI SDK FAQ
Common questions about integrating AlisQI 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.Connect AlisQI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AlisQI to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.