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Asset Panda MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Asset Panda through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "asset-panda": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Asset Panda Agent",
    instructions:
      "You help users interact with Asset Panda " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Asset Panda?"
  );
  console.log(result.text);
}

main();
Asset Panda
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

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.

Mastra's agent abstraction provides a clean separation between LLM logic and Asset Panda tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Asset Panda MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 8 tools from Asset Panda via MCP

Why Use Mastra AI with the Asset Panda MCP Server

Mastra AI provides unique advantages when paired with Asset Panda through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Asset Panda without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Asset Panda tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Asset Panda + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Asset Panda MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Asset Panda, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Asset Panda as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Asset Panda on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Asset Panda tools alongside other MCP servers

Asset Panda MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Asset Panda to Mastra AI via MCP:

01

create_object

Create a new object (asset) in a group

02

get_account_check

Verify Asset Panda account connection

03

get_group

Get metadata for a specific asset group

04

get_object

Get details for a specific object (asset)

05

list_groups

List all asset groups (entities) in Asset Panda

06

list_locations

List all locations (alias for list_groups)

07

list_objects

List all objects (assets) within a specific group

08

update_object

Update an existing object (asset)

Example Prompts for Asset Panda in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Asset Panda immediately.

01

"List all asset groups in my account."

02

"Show me the assets in the 'Laptops' group (ID: 12345)."

03

"Update the status of asset 'obj_9988' in group '123' to 'In Repair'."

Troubleshooting Asset Panda MCP Server with Mastra AI

Common issues when connecting Asset Panda to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Asset Panda + Mastra AI FAQ

Common questions about integrating Asset Panda MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Asset Panda to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.