How do I find my MakePlans API Key?

Log in to your MakePlans admin dashboard, navigate to Settings > API to find or generate your Private API Key. Your token is encrypted at rest and injected securely at runtime.

What is the Account Name?

The account name is the subdomain used in your MakePlans URL, for example: `mycompany.makeplans.com`. Enter only `mycompany`.

Can I search for available slots for a specific date range?

Yes, use the `find_available_slots` tool and provide `params` such as `from=2024-01-01&to=2024-01-07` along with the service ID.

MakePlans MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: MakePlans
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect MakePlans through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to MakePlans "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in MakePlans?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About MakePlans MCP Server

Connect your MakePlans account to any AI agent to automate your scheduling and appointment management. This MCP server enables your agent to list bookings, find available time slots, manage services and resources, and create customer records directly from natural language interfaces.

Pydantic AI validates every MakePlans tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Appointment Control — List all scheduled bookings and retrieve detailed metadata and status updates
Availability Check — Query specific services to find available time slots within defined date ranges
Resource Oversight — Manage bookable resources such as staff members, rooms, or specialized equipment
Service Catalog — List all service definitions and appointment types configured in your account
Customer CRM — Create new customer profiles and manage the 'people' database for your business
Real-time Scheduling — Programmatically create new appointments by linking people, services, and time slots

The MakePlans MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect MakePlans to Pydantic AI via MCP

Follow these steps to integrate the MakePlans MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from MakePlans with type-safe schemas

Why Use Pydantic AI with the MakePlans MCP Server

Pydantic AI provides unique advantages when paired with MakePlans through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your MakePlans integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your MakePlans connection logic from agent behavior for testable, maintainable code

MakePlans + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the MakePlans MCP Server delivers measurable value.

Type-safe data pipelines: query MakePlans with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple MakePlans tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query MakePlans and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock MakePlans responses and write comprehensive agent tests

MakePlans MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect MakePlans to Pydantic AI via MCP:

create_new_appointment

Requires person_id, service_id, and start_at. Schedule a new booking

create_new_customer

Requires name. Add a new customer profile

find_available_slots

Requires service_id and date parameters. Find available time slots for a service

get_appointment_details

Get details for a specific booking

list_appointments

Use optional params for filtering. List all bookings/appointments

list_available_services

List all offered services (appointment types)

list_booking_resources

List booking resources (staff, rooms, etc.)

list_customers

List all registered customers

Example Prompts for MakePlans in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with MakePlans immediately.

"List all appointments scheduled for next week in MakePlans."

"Find available slots for service ID '123' between tomorrow and Friday."

"Create a new customer profile for 'Alice Doe' with email 'alice@example.com'."

Troubleshooting MakePlans MCP Server with Pydantic AI

Common issues when connecting MakePlans to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MakePlans + Pydantic AI FAQ

Common questions about integrating MakePlans MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your MakePlans MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.