How to Use the Acuity Scheduling MCP in Pydantic AI

Use Pydantic AI for type-safe Acuity Scheduling automation that fails fast if your booking data format changes.

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Connect Acuity Scheduling MCP to Pydantic AI

Create your Vinkius account to connect Acuity Scheduling 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 Acuity Scheduling with Pydantic AI

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Type-safe Acuity Scheduling in Pydantic AI

Every response from `get_appointment` is validated against your Pydantic models. You get runtime errors if the API returns unexpected values. This prevents silent bugs in your booking logic. You define the expected structure, and the agent enforces it strictly.

Validated booking checks with Pydantic AI

Your agent runs `list_available_times` and verifies the result schema immediately. It ensures the data matches your constraints before proceeding to book. This process eliminates hallucinated fields. Your agent only acts on data that perfectly fits your defined model requirements.

Schema-verified business insights in Pydantic AI

The agent calls `list_appointment_types` to check service details. It then validates these against your internal business rules. This setup ensures your agent handles your service catalog correctly. Any mismatch triggers an immediate validation failure, keeping your operations consistent.

Setup guide

Set up Acuity Scheduling 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": {
        "acuity-scheduling-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Acuity Scheduling. 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 Acuity Scheduling MCP in Pydantic AI

Install the slim MCP package and use the MCPToolset class. Pass your server URL to create a toolset that integrates directly into your agent logic.

The framework will raise a validation error immediately. This stops the agent from using malformed data in your scheduling workflow.

You can pass multiple tools into your agent toolset. Each one will be validated against your Pydantic models at runtime.

You use an endpoint token for authentication. The server keeps your secrets out of your codebase while providing secure access to your account.

Every request is transient and validated. We ensure that only authorized tool calls are executed, preventing unauthorized access to your records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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