How to Use the Momence MCP in Pydantic AI

Q: How do I set up the Momence toolset in Pydantic AI?

Install the pydantic-ai-slimmcp package and use the unified MCPToolset class pointing to your Vinkius server URL. Pass this directly into your agent's toolsets list to start querying studio data.

Q: Does this Momence MCP Server support SSE transports in Pydantic AI?

Yes. The unified MCPToolset in Pydantic AI supports both Streamable HTTP and SSE transports, allowing you to connect to your Vinkius-hosted server using your preferred protocol.

Q: Can I use Pydantic AI to validate Momence retail products?

Yes. When your agent calls listproducts, the framework automatically parses and validates the product names, prices, and stock levels against strict Python types.

Build type-safe Python agents with this MCP Server to manage Momence bookings and memberships with strict validation.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Momence MCP to Pydantic AI

Create your Vinkius account to connect Momence to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Momence with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe Momence operations with Pydantic AI

Stop worrying about malformed API responses breaking your booking flows. This MCP Server integrates with Pydantic AI to validate every response from `list_bookings` and `get_session` against strict Python models at runtime. If a member's profile structure changes, the framework catches the discrepancy immediately. Your agent will fail loudly on validation errors instead of silently writing corrupted schedule data back to your studio database.

Reliable member lookup and membership checks

Verify member status without risking runtime hallucinations. Your Pydantic AI agent uses `search_members` and `get_member` to pull up client profiles with guaranteed type safety. The framework ensures that data retrieved via `list_memberships` matches your defined schemas exactly. This prevents your agent from accidentally granting class access to expired accounts due to unvalidated JSON payloads.

Structured retail and class catalog management

Keep your retail desk and class schedules perfectly aligned. Your agent queries your product catalog using `list_products` and checks class configurations with `list_session_types` and `list_locations`. By using the unified `MCPToolset` class, you can connect your agent to these tools over streamable HTTP or SSE. The framework validates every instructor output from `list_teachers` before presenting it to your staff.

Setup guide

Set up Momence 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": {
        "momence-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Momence. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Momence now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Momence MCP in Pydantic AI

Install the `pydantic-ai-slim[mcp]` package and use the unified `MCPToolset` class pointing to your Vinkius server URL. Pass this directly into your agent's `toolsets` list to start querying studio data.

The framework will raise a validation error at runtime. This prevents your agent from acting on corrupted or missing fields when checking schedules with `list_sessions`.

Yes. The unified `MCPToolset` in Pydantic AI supports both Streamable HTTP and SSE transports, allowing you to connect to your Vinkius-hosted server using your preferred protocol.

Yes. When your agent calls `list_products`, the framework automatically parses and validates the product names, prices, and stock levels against strict Python types.

All data passing through this MCP Server is processed inside Vinkius's zero-trust V8 Isolate sandbox. Your sensitive member profiles, booking records, and teacher schedules are never cached or exposed to external networks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript