How to Use the vCita MCP in Pydantic AI

Q: How do I check the status of vCita with Pydantic AI?

You run getapistatus. This verifies that your account is in good standing and all MCP tools are available for use by your agent.

Q: Can I list my client invoices using vCita with Pydantic AI?

Yes, running listclientinvoices retrieves a validated record of every bill associated with the customer. You'll never get corrupted data.

Q: Does vCita support listing staff members for Pydantic AI?

Your agent uses liststaffmembers to pull up the names and details of all team users. It’s structured and reliable.

Q: How do I make a new booking with vCita using Pydantic AI?

You tell the agent to run createnewbooking. The system schedules the appointment, and because you're using Pydantic AI, the data is guaranteed to match your defined schemas.

Manage clients and bookings with your AI client running on Pydantic AI.

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Connect vCita MCP to Pydantic AI

Create your Vinkius account to connect vCita 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 vCita with Pydantic AI

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Bookings and Appointments

The agent handles scheduling changes for you. You can book a service using `create_new_booking`, or cancel an existing slot by calling `cancel_appointment`. This keeps your books clean. Need to review the schedule? Use `list_scheduled_appointments` to pull up all upcoming appointments for immediate checking.

Client and Contact Info

Access client data easily. The agent gets a full profile via `get_client_details`, or you can add new contacts using `create_crm_client`. You also get the whole list of customers with `list_crm_clients`. This ensures your AI client always works with validated, accurate contact records.

Financial Tracking

Keep tabs on money flow. The agent can pull all past bills using `list_client_invoices`, and list transactions by calling `list_recorded_payments`. It's reliable accounting. Need to know what services are available or estimate costs? Check out the tools `list_offered_services` and `list_price_estimates`.

Setup guide

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

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

result = await agent.run("List recent vCita 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 vCita. 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 vCita MCP in Pydantic AI

You run `get_api_status`. This verifies that your account is in good standing and all MCP tools are available for use by your agent.

Yes, running `list_client_invoices` retrieves a validated record of every bill associated with the customer. You'll never get corrupted data.

Your agent uses `list_staff_members` to pull up the names and details of all team users. It’s structured and reliable.

The server manages client contact information, specifically including billing history and service records. Appointment booking data is also included.

You tell the agent to run `create_new_booking`. The system schedules the appointment, and because you're using Pydantic AI, the data is guaranteed to match your defined schemas.

Use it with your favorite AI tools

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