How to Use the US Statute of Limitations Calculator MCP in Pydantic AI

Enforce type-safe legal deadline logic in your Pydantic AI agent with this validated MCP.

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Connect US Statute of Limitations Calculator MCP to Pydantic AI

Create your Vinkius account to connect US Statute of Limitations 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 Statute of Limitations Calculator with Pydantic AI

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Type-safe deadlines for Pydantic AI

Every response from `calculate_statute_deadline` is validated against strict Pydantic models. If the data is malformed, your agent stops immediately to prevent errors. This ensures that every deadline your agent handles is formatted correctly. You get the benefit of runtime validation without writing custom parsing code.

Rigorous discovery and tolling checks

The `evaluate_discovery_rule` tool returns data that must match your schema, forcing the agent to handle exceptions explicitly. It is the safest way to manage discovery-based accrual. You can also use `check_tolling_impact` to confirm if a deadline is extended by law. The tool ensures the response structure is always predictable and safe.

Framework-agnostic legal logic

Because this MCP works with any model, you can swap your underlying LLM without breaking your deadline logic. It integrates directly as a toolset in your agent definition. This setup keeps your legal code decoupled from your model choice. You focus on the business logic while the tools handle the statutory requirements.

Setup guide

Set up US Statute of Limitations 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-statute-of-limitations-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 Statute of Limitations Calculator tools.",
)

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

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Common questions about US Statute of Limitations Calculator MCP in Pydantic AI

Yes, the MCP is designed to return data that fits perfectly into Pydantic models. You pass the toolset to your agent to start calculating deadlines immediately.

Pydantic AI ensures that the output is type-safe, preventing silent corruption of your legal data. It is the most reliable way to handle structured statutory information.

Yes, it provides tools to evaluate both discovery rules and tolling events. Your agent uses these to refine the final filing deadline based on specific legal circumstances.

Yes, the server runs independently, and your agent connects via HTTP or SSE. This keeps your agent environment lightweight and decoupled.

All communication is contained within your secure environment. The toolset only receives the specific claim parameters required for the calculation, never the full case file.

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