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

Built by Vinkius GDPR 10 Tools SDK

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

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 Whereby "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
Whereby
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* 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 Whereby MCP Server

Connect your Whereby account to any AI agent and manage your video communication infrastructure through natural conversation.

Pydantic AI validates every Whereby tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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

  • Meeting Creation — Instantly provision new transient video meeting rooms with specific expiration dates and room modes (normal or group)
  • Meeting Insights — Retrieve full details for any meeting, including the exact join URL and real-time status
  • UI Customization — Update and manage visual room themes, including custom colors and branding, to match your application's look and feel
  • Recording Management — List all cloud recordings stored in your account and retrieve direct MP4 download links and metadata
  • Active Sessions — Monitor currently active or pending meeting rooms and retrieve their unique UUIDs for automated workflows
  • Data Integrity — Safely delete obsolete meeting rooms or cloud recordings to manage your quotas and storage efficiently
  • Room Controls — Configure room security by setting rooms to 'locked' mode, requiring host approval for new participants

The Whereby 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 Whereby to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 10 tools from Whereby with type-safe schemas

Why Use Pydantic AI with the Whereby MCP Server

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

01

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

02

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

03

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

04

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

Whereby + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Whereby MCP Tools for Pydantic AI (10)

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

01

create_meeting_room

Provide an ISO 8601 end date and room mode (normal or group). Creates a new transient video meeting room with a specific end date

02

delete_cloud_recording

This action is irreversible. Permanently deletes a cloud recording file

03

delete_meeting_room

This action is irreversible. Immediately deletes a video meeting room and terminates any active session

04

get_meeting_details

Retrieves details for a specific video meeting, including its join URL and expiration date

05

get_recording_details

Retrieves download links and metadata for a specific cloud recording

06

get_room_theme

Retrieves the visual theme settings (colors, logo) for a specific room name

07

list_active_meetings

Lists all currently active or pending video meeting rooms created via the API

08

list_cloud_recordings

Lists all cloud recordings stored in the Whereby account

09

reset_room_theme

Resets a meeting room theme back to the default Whereby branding

10

update_room_theme

Provide the room name and a hex color code. Updates the primary branding color for a specific meeting room

Example Prompts for Whereby in Pydantic AI

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

01

"Create a new 'group' meeting room that expires in 2 hours."

02

"List all my past cloud recordings."

03

"Update the 'Support-101' room theme to use hex color #00ff00."

Troubleshooting Whereby MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Whereby + Pydantic AI FAQ

Common questions about integrating Whereby MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect Whereby to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.