Hub Planner MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Hub Planner through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Hub Planner "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Hub Planner?"
)
print(result.data)
asyncio.run(main())
* 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 Hub Planner MCP Server
Connect your AI agents to Hub Planner to optimize your resource management. This MCP server allows you to list resources, track project progress, manage bookings, and view client information directly through the Hub Planner API. Ideal for project managers and operations teams.
Pydantic AI validates every Hub Planner tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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.
The Hub Planner MCP Server exposes 10 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 Hub Planner to Pydantic AI via MCP
Follow these steps to integrate the Hub Planner 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 10 tools from Hub Planner with type-safe schemas
Why Use Pydantic AI with the Hub Planner MCP Server
Pydantic AI provides unique advantages when paired with Hub Planner 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 Hub Planner integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Hub Planner connection logic from agent behavior for testable, maintainable code
Hub Planner + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Hub Planner MCP Server delivers measurable value.
Type-safe data pipelines: query Hub Planner with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Hub Planner tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Hub Planner and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Hub Planner responses and write comprehensive agent tests
Hub Planner MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Hub Planner to Pydantic AI via MCP:
get_me
Gets current authenticated user info
list_bookings
Lists resource bookings
list_categories
Lists booking categories
list_clients
Lists all clients
list_events
Lists events/time-off
list_projects
Lists all projects
list_resources
Lists resources (people, equipment)
list_tags
Lists tags used in projects and resources
list_teams
Lists all teams
list_unassigned
Lists unassigned bookings
Example Prompts for Hub Planner in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Hub Planner immediately.
"List all resources in Hub Planner."
"Show me active projects."
"Check bookings for the next 7 days."
Troubleshooting Hub Planner MCP Server with Pydantic AI
Common issues when connecting Hub Planner to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHub Planner + Pydantic AI FAQ
Common questions about integrating Hub Planner MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Hub Planner with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Hub Planner to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.