How to Use the US Depreciation Calculator MCP in Mastra AI

Q: How do I integrate the US Depreciation Calculator into a Mastra AI agent?

Install the @mastra/mcp package and instantiate the MCPClient with the server URL from Vinkius. Then, call mcpClient.listTools() and pass the returned tools to your Mastra agent's configuration. The agent can then invoke the depreciation tools as part of any workflow.

Build automated, error-proof accounting workflows with Mastra AI. Run complex depreciation calculations that never fail.

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Connect US Depreciation Calculator MCP to Mastra AI

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Setup US Depreciation Calculator with Mastra AI

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Automate End-of-Year Reporting

Generate year-end depreciation reports for your entire asset portfolio automatically. The `calculate_depreciation_schedule` tool produces a full MACRS schedule for any given asset. You can feed it a list of assets and let your Mastra agent handle the rest. Here's how it plays out in a workflow: if a calculation for one asset fails due to a network blip, Mastra's engine automatically retries. You don't have to babysit the process. The workflow just runs to completion, ensuring every asset is accounted for.

Build Smart Tax Planning Agents

An agent can now perform tax analysis. Use the `calculate_expensing_impact` tool to get the numbers for Section 179 and Bonus Depreciation. The tool returns a clear comparison of the first-year deduction for each method. With Mastra, you can build logic around this data. For example: IF the Section 179 deduction is greater than a certain threshold, THEN generate a report for partner review; ELSE, proceed with standard MACRS. This MCP turns a simple calculation into an automated decision-making process.

Validate Asset Data in Your MCP Workflow

Bad data in means bad data out. Before running any depreciation calculation, you can use `get_asset_class_info` to check if an asset's assigned class and recovery period are valid according to the tax code. It's a simple check that prevents larger problems downstream. In a Mastra workflow, you can make this a required first step. The agent fetches the asset details, validates them with this tool, and only proceeds to the main calculation if the data is correct. If not, it can flag the item for manual review.

Setup guide

Set up US Depreciation Calculator MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All US Depreciation Calculator tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "us-depreciation-calculator-mcp-client",
  servers: {
    "us-depreciation-calculator-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "US Depreciation Calculator Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to US Depreciation Calculator tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent US Depreciation Calculator transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by US Depreciation Calculator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about US Depreciation Calculator MCP in Mastra AI

Install the `@mastra/mcp` package and instantiate the `MCPClient` with the server URL from Vinkius. Then, call `mcpClient.listTools()` and pass the returned tools to your Mastra agent's configuration. The agent can then invoke the depreciation tools as part of any workflow.

Absolutely. You can design a Mastra AI workflow that iterates through a list of assets from a database or CSV. For each asset, it calls the US Depreciation Calculator tools, and Mastra's engine manages the state, retries, and error logging for the entire batch.

Mastra AI's workflow engine provides automatic retries with exponential backoff. If a call to this MCP fails due to a temporary issue, Mastra will try again. You can configure the number of retries and the logic for what to do if it ultimately fails, like sending a notification.

You can if you want. Mastra AI supports human-in-the-loop workflows with `requireToolApproval`. You can configure your agent to run the depreciation calculations and then pause for a person to review and approve the results before the workflow continues.

The MCP processes only the inputs for the calculation: asset cost, its in-service date, and the asset class. This data is used ephemerally for the computation and is never stored. The connection is secured with industry-standard TLS encryption.

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