How to Use the Depreciation Calculator MCP in Pydantic AI

Q: How do I use the Depreciation Calculator with Pydantic AI for type safety?

You simply add the MCPToolset with the server URL to your agent. Pydantic AI automatically fetches the tool's schema and validates every calculation result against it before returning it to your code.

Q: What happens if this MCP returns an error or bad data?

Pydantic AI will raise a ValidationError. This is its core strength; it prevents your agent from acting on incorrect or malformed financial data.

Q: How should I configure the toolset in Pydantic AI?

Use the modern MCPToolset("http://...") class. The older MCPServerHTTP class is deprecated.

Get type-safe, validated depreciation calculations in your Python agent with Pydantic AI. No more silent data corruption.

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Create your Vinkius account to connect 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 Depreciation Calculator with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Correctness You Can Trust

This server provides the standard formulas for asset depreciation. It does the math correctly, every time. It handles straight-line, sum-of-the-years' digits, and declining balance methods. Your agent can request a calculation for simple assets using `calculate_straight_line`. When you need to model accelerated depreciation, you can call `calculate_sum_of_years_digits` or `calculate_declining_balance` for precise results.

Fail Loudly with Pydantic AI

Here's the key: Pydantic AI validates every response against a Pydantic model. If the server ever returns an unexpected data type or a malformed response, your agent will raise a `ValidationError` immediately. This prevents silent data corruption from flowing through your financial reports. For applications where correctness is non-negotiable, this runtime validation is a lifesaver. You'll know the instant something is wrong.

Model-Agnostic Financial Tools

Pydantic AI lets you use this financial toolset with any LLM, whether it's from OpenAI, Anthropic, or a local model. You aren't locked into a single provider's ecosystem. The financial logic is decoupled from the reasoning engine. This gives you flexibility. You can swap out the underlying LLM without having to rewrite your financial tooling. The toolset provides a stable, validated interface for your agent.

Setup guide

Set up 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": {
        "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 Depreciation Calculator tools.",
)

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

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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 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 Depreciation Calculator MCP in Pydantic AI

You simply add the `MCPToolset` with the server URL to your agent. Pydantic AI automatically fetches the tool's schema and validates every calculation result against it before returning it to your code.

Pydantic AI will raise a `ValidationError`. This is its core strength; it prevents your agent from acting on incorrect or malformed financial data.

Yes. Because Pydantic AI is model-agnostic, you can pair this MCP with any compatible LLM, including local models run via Ollama or other services.

Use the modern `MCPToolset("http://...")` class. The older `MCPServerHTTP` class is deprecated.

Your agent sends only the required numerical inputs for a single calculation: asset cost, salvage value, and useful life. The server is stateless; it doesn't log or retain any of this financial data. The entire transaction is secured via HTTPS.

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