How to Use the Venue MCP in Pydantic AI
Ensure correct venue actions with Pydantic AI that manages booking calendars and contracts.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Venue MCP to Pydantic AI
Create your Vinkius account to connect Venue 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.
Creating New Events on MCP Server
When you book a new meeting, the agent uses `create_event`. Because of Pydantic's validation, you know for sure the data structure is correct before it commits. It also handles the creation of talent via `create_speaker`, ensuring speaker records meet your required schema.
Listing All Events with Pydantic AI
Need to see everything? Calling `list_events` gives you a clean list of current and past meetings. The agent validates every field it receives. Similarly, `list_event_sessions` lists all topics for an event, ensuring the session titles are formatted correctly.
Getting Event Status via MCP Server
The tool `get_event_details` fetches specific booking data. If the API sends unexpected fields, your agent fails loud—you don't get bad data silently. You can also list attendees using `list_event_registrations`, guaranteeing the format of each name and email.
Set up Venue 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": {
"venue-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Venue tools.",
)
result = await agent.run("List recent Venue 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 Venue. 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 Venue MCP in Pydantic AI
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