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How to Use the Whereby MCP in Pydantic AI

Build type-safe agents for video calling management with Pydantic AI on Whereby MCP Server.

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Pydantic AI

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.

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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.

Setup guide

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. 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": {
        "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)

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Common questions about Whereby MCP in Pydantic AI

The agent runs `create_meeting_room`. You must provide two pieces of information: an ISO 8601 end date and whether the room needs to be in normal or group mode.
You run `get_meeting_details`. This fetches crucial information like the join URL and the room's expiration date so your agent knows exactly when it expires.
The agent calls `list_cloud_recordings`. It returns a structured list of every cloud recording file that exists within your Whereby account.
Yes. The agent executes `update_room_theme`, and because you're using Pydantic, it validates that both the room name string and the hex color code are correctly formatted before the API call.
You permanently remove the cloud recording file. The agent's action targets and deletes the raw recorded media asset from your Whereby account.

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