How to Use the Guidebook MCP in Pydantic AI

Q: How to integrate Guidebook with Pydantic AI?

Install the MCP-enabled version of the framework and use MCPToolset to connect to the server. Your agent then gains access to tools like listsessions with full type validation.

Ensure type-safe event management with the Guidebook MCP Server and the Pydantic AI framework.

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Connect Guidebook MCP to Pydantic AI

Create your Vinkius account to connect Guidebook 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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Setup Guidebook with Pydantic AI

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Validate Guidebook data with Pydantic AI

Stop worrying about malformed API responses. When your agent calls `get_session`, the framework validates the output against your Pydantic model immediately. If the data doesn't match your schema, the agent stops. This prevents corrupted session details from ever reaching your mobile app users.

Fetch precise speaker info with Pydantic AI

Get consistent speaker data across your entire event workflow. Your agent uses `get_speaker` to retrieve profiles that are checked against your type-safe definitions. This enforces strict data quality for your app content. Your agent rejects any response that deviates from your expected speaker data structure.

Automate guide discovery with Pydantic AI

Manage your entire event portfolio from a single agent. Your agent uses `list_guides` to find active events and validates the metadata for each one. This keeps your multi-event management organized. Your agent only acts on confirmed, type-validated guide data.

Setup guide

Set up Guidebook 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 deprecated MCPServerHTTP class with full protocol support.
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

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": {
        "guidebook-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Guidebook transactions")
print(result.output)

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Common questions about Guidebook MCP in Pydantic AI

Install the MCP-enabled version of the framework and use `MCPToolset` to connect to the server. Your agent then gains access to tools like `list_sessions` with full type validation.

Yes. Every tool response is checked against your defined models. If the Guidebook API returns a field that doesn't match, the framework throws a validation error.

Absolutely. You define a Pydantic model for your custom lists, and the framework ensures the data from `list_custom_lists` adheres to it.

It accesses guide configurations, session schedules, and speaker contact info. These are the specific data points needed to populate your mobile event app.

We provide a secure, isolated sandbox for every request. No session or speaker data is held beyond the immediate transaction, keeping your event information strictly within your control.

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