How to Use the Webex MCP in Pydantic AI
Guarantee Webex resource integrity with Pydantic AI's type-safe agent framework.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
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": {
"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
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