Whereby MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
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 Whereby integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Whereby with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Whereby tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Whereby and output structured, schema-compliant notifications
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:
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
delete_cloud_recording
This action is irreversible. Permanently deletes a cloud recording file
delete_meeting_room
This action is irreversible. Immediately deletes a video meeting room and terminates any active session
get_meeting_details
Retrieves details for a specific video meeting, including its join URL and expiration date
get_recording_details
Retrieves download links and metadata for a specific cloud recording
get_room_theme
Retrieves the visual theme settings (colors, logo) for a specific room name
list_active_meetings
Lists all currently active or pending video meeting rooms created via the API
list_cloud_recordings
Lists all cloud recordings stored in the Whereby account
reset_room_theme
Resets a meeting room theme back to the default Whereby branding
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.
"Create a new 'group' meeting room that expires in 2 hours."
"List all my past cloud recordings."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWhereby + Pydantic AI FAQ
Common questions about integrating Whereby MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Whereby with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
