How to Use the US Depreciation Calculator MCP in Pydantic AI

Get type-safe US tax depreciation calculations in your Pydantic AI agent applications.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect US Depreciation Calculator MCP to Pydantic AI

Create your Vinkius account to connect US Depreciation Calculator to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup US Depreciation Calculator with Pydantic AI

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Validated schedule generation

Call `calculate_depreciation_schedule` and trust the response structure. Pydantic AI validates every field returned by the MCP at runtime. This prevents silent errors in your financial models. If the data doesn't match the expected schema, the agent catches it immediately.

Precise tax strategy comparison

Use `calculate_expensing_impact` to analyze the difference between various expensing methods. The typed responses ensure your agent receives clean, predictable data. You avoid hallucinated fields or malformed numbers. The output is ready for direct use in your tax reporting logic.

Accurate asset class lookups

Fetch recovery periods with `get_asset_class_info` to keep your asset database consistent. The strict type checking ensures you always have the right classification data. Your agent relies on these validated inputs for every subsequent calculation. It makes your tax logic robust and error-free.

Setup guide

Set up US Depreciation Calculator MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "us-depreciation-calculator-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to US Depreciation Calculator tools.",
)

result = await agent.run("List recent US Depreciation Calculator transactions")
print(result.output)

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