How to Use the Whereby MCP in Pydantic AI
Build type-safe agents for video calling management with Pydantic AI on Whereby MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Whereby MCP to Pydantic AI
Create your Vinkius account to connect Whereby 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.
Managing Video Call Credentials
The agent controls the call setup process. It uses `create_meeting_room` to establish a new room, making sure you pass both an end date and a mode (normal or group). For existing calls, it checks status using `get_meeting_details`.
Theme Control for Reliability
The agent ensures the visual output is correct. It first gets current settings via `get_room_theme`. To change it, it executes `update_room_theme`, validating that both the room name and hex color code are present before making the call. It can also use `reset_room_theme` if needed.
Audit and Removal of Media Assets
The agent keeps track of content with `list_cloud_recordings`, giving you a structured list to work from. When cleanup is necessary, it executes either `delete_meeting_room` or `delete_cloud_recording`. Pydantic validation ensures these irreversible calls are properly formed.
Set up Whereby 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"whereby-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Whereby tools.",
)
result = await agent.run("List recent Whereby 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 Whereby. 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.
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 Whereby MCP in Pydantic AI
Use it with your favorite AI tools
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