How to Use the Days Between Dates Calculator MCP in Pydantic AI

Get type-safe date calculations for your Pydantic AI projects.

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Connect Days Between Dates Calculator MCP to Pydantic AI

Create your Vinkius account to connect Days Between Dates 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 Days Between Dates Calculator with Pydantic AI

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Strict business day math for Pydantic AI

Deploy `count_business_days` to ensure your agent calculates working days with total accuracy. Pydantic AI validates the response against your models to prevent data errors. Your agent uses this for strict scheduling tasks where precision matters. It keeps your workflow free from unexpected type mismatches.

Structured date parsing in Pydantic AI

Use `get_date_breakdown` to receive a validated object containing your time intervals. The tool returns data that your agent can trust immediately. This removes the risk of hallucinated fields in your date math. Pydantic AI ensures the output matches your expected schema every single time.

Validated holiday checks with Pydantic AI

Call `verify_holiday_status` to see if a date is a holiday. The response is checked against your defined models so your agent acts only on valid, verified data. This check is vital for agents that manage calendars. It keeps your logic robust by enforcing strict validation on every holiday query.

Setup guide

Set up Days Between Dates 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": {
        "days-between-dates-calculator-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Days Between Dates Calculator transactions")
print(result.output)

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Common questions about Days Between Dates Calculator MCP in Pydantic AI

You get type-safe responses that prevent your agent from crashing on bad data. Pydantic AI forces the MCP output to meet your exact model requirements.

Yes, you use the MCPToolset to register the tools. Your agent then validates every tool call response at runtime.

You can. Since the tool output is validated, your agent handles the holiday status correctly without guessing if the data is malformed.

It is built to work with the standard toolset interface. You can set it up in your agent definition with just a few lines of code.

This MCP processes your date parameters in memory only. It does not store your calendar data, keeping your private information isolated from external systems.

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