Asset Panda MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Asset Panda 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 Asset Panda, 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 Asset Panda MCP Server
The Asset Panda MCP Server provides a flexible natural language interface to your asset tracking and management platform. Empower your AI agent to manage your entire inventory, from high-level entity groups to individual asset details and location tracking.
The Vercel AI SDK gives every Asset Panda tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Group Management — List all organizational entities (Groups) to understand how your data is structured.
- Asset Tracking — Retrieve detailed information for individual objects (assets), including custom field values.
- Inventory Oversight — List and search for assets within specific groups to maintain an accurate inventory.
- Asset Lifecycle — Create and update asset records directly from your chat interface to reflect real-world changes instantly.
- Location Management — Track where your assets are across different sites and departments.
- Secure OAuth 2.0 — Uses secure Client Credentials flow to ensure safe access to your organization's inventory data.
The Asset Panda MCP Server exposes 8 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 Asset Panda to Vercel AI SDK via MCP
Follow these steps to integrate the Asset Panda 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 8 tools from Asset Panda and passes them to the LLM
Why Use Vercel AI SDK with the Asset Panda MCP Server
Vercel AI SDK provides unique advantages when paired with Asset Panda 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 Asset Panda integration everywhere
Built-in streaming UI primitives let you display Asset Panda 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
Asset Panda + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Asset Panda MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Asset Panda in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Asset Panda tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Asset Panda capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Asset Panda through natural language queries
Asset Panda MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Asset Panda to Vercel AI SDK via MCP:
create_object
Create a new object (asset) in a group
get_account_check
Verify Asset Panda account connection
get_group
Get metadata for a specific asset group
get_object
Get details for a specific object (asset)
list_groups
List all asset groups (entities) in Asset Panda
list_locations
List all locations (alias for list_groups)
list_objects
List all objects (assets) within a specific group
update_object
Update an existing object (asset)
Example Prompts for Asset Panda in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Asset Panda immediately.
"List all asset groups in my account."
"Show me the assets in the 'Laptops' group (ID: 12345)."
"Update the status of asset 'obj_9988' in group '123' to 'In Repair'."
Troubleshooting Asset Panda MCP Server with Vercel AI SDK
Common issues when connecting Asset Panda to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAsset Panda + Vercel AI SDK FAQ
Common questions about integrating Asset Panda 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 Asset Panda 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 Asset Panda to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.