How to Use the Hub Planner MCP in Pydantic AI

Use Hub Planner with Pydantic AI to enforce strict type validation on all your resource and project scheduling operations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Hub Planner MCP to Pydantic AI

Create your Vinkius account to connect Hub Planner 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.

GDPR Free for Subscribers

Setup Hub Planner with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validated resource scheduling with Pydantic AI

Get type-safe responses from your server. Every call to `list_resources` is validated against your Pydantic models at runtime. No more guessing about data structures. If the API returns a malformed response, the agent stops immediately to prevent errors.

Project management for Pydantic AI agents

Your agent handles project data with total precision. It uses `list_projects` and `list_tags` to filter work based on strict criteria. This ensures data integrity. Every field is checked against your defined models, so you know exactly what is coming back from the server.

Booking and team data integrity

The agent manages your bookings without risk of corruption. It calls `list_bookings` and `list_teams`, validating every record before acting. It enforces correctness. If a model fails validation, your agent catches it before it impacts your scheduling logic.

Setup guide

Set up Hub Planner 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": {
        "hub-planner-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hub Planner. 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.

Connect Hub Planner now

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 Hub Planner MCP in Pydantic AI

Install the necessary dependencies and use the MCPToolset class. Pass the server URL to initialize the connection and include it in your agent's toolset list.

Yes, it enforces runtime validation for every tool response. This includes complex objects returned by `list_bookings` and `list_projects`.

The server is model-agnostic. You can connect it to any LLM supported by Pydantic AI while maintaining consistent type safety for your data.

The framework raises a validation error immediately. This prevents your agent from hallucinating based on faulty data fetched from the API.

All data flows through an authenticated, encrypted channel. Pydantic AI validates the structure of your booking records to ensure they match your schema, protecting your workflow from malformed inputs.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript