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How to Use the Hopin (RingCentral Events) MCP in Pydantic AI

Build type-safe, validated Hopin (RingCentral Events) integrations with Pydantic AI and our MCP Server.

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Connect Hopin (RingCentral Events) MCP to Pydantic AI

Create your Vinkius account to connect Hopin (RingCentral Events) 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.

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Validate attendee registrations at runtime

When your agent uses `create_registration` or `list_registrations`, Pydantic AI validates every returned field against strict Python schemas. If Hopin's API returns an unexpected format, the framework catches it instantly. This prevents corrupt user profiles from entering your system. You get clear, traceable validation errors instead of silent failures that ruin your database integrity.

Parse complex event agendas with zero errors

Handle messy event schedules with complete confidence by querying `list_schedule` and `list_sessions`. The framework coerces the API response into your defined Pydantic models. This ensures your agent always works with clean, structured data when generating summaries or planning attendee tracks.

Ensure vendor and speaker records match your models

By calling `list_vendors` and `list_speakers`, your agent pulls live data that is immediately verified against your internal business rules. If a vendor profile is missing a required website URL or a speaker bio is too short, the agent flags it. This keeps your public-facing event page clean and uniform without manual data cleaning.

Setup guide

Set up Hopin (RingCentral Events) MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "hopin-ringcentral-events-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Hopin (RingCentral Events) transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by RingCentral Events (Hopin). 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 Hopin (RingCentral Events) MCP in Pydantic AI

Use the toolset class with your Vinkius HTTP URL. Pass this toolset into the agent constructor's toolsets argument to enable tools like `list_events`.
Yes. Every tool call, including `list_tickets` and `get_event`, passes through Pydantic's runtime validation to ensure the data matches the expected type signatures.
Absolutely. Pydantic AI is model-agnostic. You can run this setup with Anthropic, Gemini, or local Ollama models without changing your tool configuration.
The toolset supports both Streamable HTTP and SSE transports. For Vinkius-hosted servers, the standard HTTP transport is recommended.
No registration or ticket data is cached or stored by Vinkius. The server acts as a stateless pass-through, and Pydantic AI validates the data locally within your secure infrastructure.

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