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How to Use the Webex MCP in Pydantic AI

Guarantee Webex resource integrity with Pydantic AI's type-safe agent framework.

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Connect Webex MCP to Pydantic AI

Create your Vinkius account to connect Webex 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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Scheduling and validating meeting updates.

When you schedule a new event, the tool `create_video_meeting` validates that you provide both a title and accurate ISO 8601 start/end timestamps. If data is missing or wrong, the agent fails loudly. You can update an existing meeting using `update_meeting_schedule`. The framework ensures the meeting ID and all updated fields conform to expected types.

Controlling collaboration spaces.

To create a space, you use `create_webex_room` with a title; Pydantic validates that this string is properly formatted. If you delete the room via `delete_webex_room`, the framework confirms the irreversible action before proceeding.

Retrieving and listing Webex resources.

The agent can get details for specific items using `get_meeting_details` or `list_webex_rooms`. When you run a list command, like `list_scheduled_meetings`, the returned data structure is guaranteed to match your defined Pydantic models.

Setup guide

Set up Webex 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": {
        "webex-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Webex tools.",
)

result = await agent.run("List recent Webex 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 Webex. 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.

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Common questions about Webex MCP in Pydantic AI

You use `update_room_title` with a specific room ID and the new title string. The framework guarantees that both inputs are correctly typed before making changes to Webex.
When calling `create_video_meeting`, the system strictly validates that you provide a string for the title and two specific timestamps (start/end) adhering to ISO 8601 format.
Yes. The `delete_scheduled_meeting` tool permanently cancels an event. Because of the type-safe design, you'll know exactly which meeting ID is being canceled.
It does. Use `update_meeting_schedule` by passing a valid meeting ID and the updated fields. The agent won't proceed if the data doesn't match its expected schema.
The server handles meeting IDs, room IDs, titles (strings), and ISO 8601 timestamps. The framework ensures these data structures are correct every time.

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