How do I find my Amilia Organization Identifier?

The Organization Identifier (formerly Rewrite URL) is the unique slug found in your Amilia store URL (e.g., `forest-explorers`). You can also use your numeric Organization ID.

How does authentication work?

Your agent uses your Username and Password to authenticate with the `/api/V3/authenticate` endpoint, retrieving a JWT token that is valid for 1 year to authorize subsequent requests.

Can I get an attendance roster for a specific class?

Yes! First, use `list_activity_occurrences` to find the specific date/time ID. Then, use `get_attendance` to retrieve the roster and check-in statuses for that occurrence.

Amilia MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Amilia
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Amilia through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Amilia "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Amilia?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Amilia MCP Server

Connect your Amilia (SmartRec) account to your AI agent to unlock professional recreation management and participant orchestration. From auditing activity programs and monitoring attendance to managing household accounts and tracking registrations, your agent handles your community operations through natural conversation.

Pydantic AI validates every Amilia tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Program & Activity Orchestration — List and manage recreational programs, activities, and specific class occurrences
Account & Contact Oversight — Retrieve detailed profiles for families/households and their individual contacts
Registration Tracking — Audit sign-ups and retrieve registration histories for specific accounts
Attendance Management — Retrieve rosters and check-in statuses for specific event occurrences
Operational Insights — Quickly identify popular activities or retrieve attendance reports directly from your chat interface

The Amilia MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Amilia to Pydantic AI via MCP

Follow these steps to integrate the Amilia MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Amilia with type-safe schemas

Why Use Pydantic AI with the Amilia MCP Server

Pydantic AI provides unique advantages when paired with Amilia through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Amilia integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Amilia connection logic from agent behavior for testable, maintainable code

Amilia + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Amilia MCP Server delivers measurable value.

Type-safe data pipelines: query Amilia with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Amilia tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Amilia and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Amilia responses and write comprehensive agent tests

Amilia MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Amilia to Pydantic AI via MCP:

get_account_details

Get account profile

get_attendance

Get attendance roster

get_program_details

Get program metadata

list_accounts

List family accounts

list_activities

List program activities

list_activity_occurrences

List activity schedules

list_contacts

List account contacts

list_programs

g. Summer Camp, Fall Sessions). List recreational programs

list_registrations

List account registrations

Example Prompts for Amilia in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Amilia immediately.

"List all active programs in my organization."

"Show me the contacts associated with account ID 'acc_12345'."

"Get the attendance roster for occurrence ID 'occ_98765'."

Troubleshooting Amilia MCP Server with Pydantic AI

Common issues when connecting Amilia to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Amilia + Pydantic AI FAQ

Common questions about integrating Amilia MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Amilia MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.