How do I find my Airmeet Access and Secret Keys?

Log in to your Airmeet Dashboard, navigate to **Integrations** > **API Access Key**, and click on 'Generate Key'. You will receive both the Access Key and Secret Key there.

Can I retrieve magic links for attendees?

Yes! When you use the `add_attendee` tool, Airmeet generates a unique entry link. You can also use the `list_participants` tool to retrieve existing magic links for registered users.

How long are recording links valid?

Recording download links retrieved via the `get_session_recordings` tool are temporary and typically remain valid for 6 hours. We recommend downloading the media immediately.

Airmeet MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Airmeet
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Airmeet 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 Airmeet "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Airmeet?"
    )
    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 Airmeet MCP Server

Connect your Airmeet community to your AI agent to unlock professional event orchestration and attendee management. From creating new virtual events and sessions to auditing attendee lists and retrieving session recordings, your agent handles your event lifecycle through natural conversation.

Pydantic AI validates every Airmeet tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Event Orchestration — Create and configure Airmeet events, manage sessions, and update event statuses (start, pause, end)
Attendee Management — Add authorized attendees, retrieve magic links, and audit participant lists for any event
Speaker Coordination — Add and manage speakers for your event sessions seamlessly
Engagement Auditing — Retrieve analytics for event attendance, poll responses, and questions asked by participants
Media Access — Retrieve download links for session recordings to support your post-event content strategy

The Airmeet MCP Server exposes 10 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 Airmeet to Pydantic AI via MCP

Follow these steps to integrate the Airmeet 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 10 tools from Airmeet with type-safe schemas

Why Use Pydantic AI with the Airmeet MCP Server

Pydantic AI provides unique advantages when paired with Airmeet 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 Airmeet integration code

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

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

Airmeet + Pydantic AI Use Cases

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

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

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

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

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

Airmeet MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Airmeet to Pydantic AI via MCP:

add_attendee

create_event

Create a new Airmeet

create_session

Add a session to event

get_event_attendance

Get attendance analytics

get_session_recordings

Get recording download links

list_events

List virtual events

list_participants

List event participants

list_poll_responses

List event polls

list_questions

List participant questions

update_event_status

Change event status

Example Prompts for Airmeet in Pydantic AI

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

"List all Airmeet events scheduled for next month."

"Add 'John Doe' (john@example.com) as an attendee to event ID 12345."

"Retrieve the recordings for session ID 98765."

Troubleshooting Airmeet MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Airmeet + Pydantic AI FAQ

Common questions about integrating Airmeet 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 Airmeet MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.