AirOps 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 AirOps 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
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 AirOps, 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 AirOps MCP Server
Connect your AirOps account to your AI agent to unlock professional AI workflow orchestration and agent management. From executing complex multi-step workflows synchronously or asynchronously to interacting with specialized chat agents and managing managed memory stores, your agent handles your AI operations through natural conversation.
The Vercel AI SDK gives every AirOps 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
- Workflow Orchestration — Execute and monitor AirOps apps and workflows, passing custom parameters and retrieving structured results
- Agent Interaction — Chat directly with your specialized AirOps agents to perform niche tasks or leverage unique agent instructions
- Memory Management — Search within managed memory stores (vector databases) and add documents to enrich your AI's domain knowledge
- File Orchestration — Upload and manage files to be used as inputs for your AI workflows and data extraction tasks
- Real-time Status — Monitor execution statuses and cancel long-running AI tasks directly from your chat interface
The AirOps 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 AirOps to Vercel AI SDK via MCP
Follow these steps to integrate the AirOps 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 AirOps and passes them to the LLM
Why Use Vercel AI SDK with the AirOps MCP Server
Vercel AI SDK provides unique advantages when paired with AirOps 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 AirOps integration everywhere
Built-in streaming UI primitives let you display AirOps 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
AirOps + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AirOps MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AirOps in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AirOps tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AirOps capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AirOps through natural language queries
AirOps MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect AirOps to Vercel AI SDK via MCP:
add_memory_document
Enrich AI knowledge
cancel_execution
Stop a running task
chat_with_agent
Interact with AI agent
execute_workflow_async
Run workflow asynchronously
execute_workflow_sync
Best for quick tasks. Run workflow synchronously
get_app_details
Get app metadata
get_execution_status
Check execution progress
list_apps
List AI applications
search_memory_store
Search vector database
upload_file
Upload file for AI
Example Prompts for AirOps in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AirOps immediately.
"List all AI apps in my AirOps workspace."
"Execute the 'Data Extractor' app (UUID: abc-123) with input 'Extract names from this text: John Doe visited London'."
"Search my 'Knowledge Base' memory store for 'API integration guides'."
Troubleshooting AirOps MCP Server with Vercel AI SDK
Common issues when connecting AirOps to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAirOps + Vercel AI SDK FAQ
Common questions about integrating AirOps 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 AirOps 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 AirOps to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.