HQBeds MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Check Hqbeds Status, Create Reservation, Get Account, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HQBeds through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The HQBeds app connector for Pydantic AI is a standout in the Erp Operations category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 HQBeds "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in HQBeds?"
)
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 HQBeds MCP Server
Connect your HQBeds account to any AI agent and take full control of your property management system (PMS) and automated hostel/hotel operations through natural conversation.
Pydantic AI validates every HQBeds tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Reservation Portfolio Orchestration — List and manage all property reservations programmatically, retrieving detailed stay metadata and payment statuses
- Guest & Customer Intelligence — Programmatically retrieve directories of guests and access complete profiles and check-in history in real-time
- Room & Inventory Architecture — Access your complete directory of rooms and availability to coordinate your organizational resource allocation
- Operational Monitoring — Access real-time status updates for check-ins/outs and track property performance directly through your agent for instant reporting
- Infrastructure Verification — Verify account-level API connectivity and monitor booking volume directly through your agent for perfectly coordinated service scaling
The HQBeds 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.
All 10 HQBeds tools available for Pydantic AI
When Pydantic AI connects to HQBeds through Vinkius, your AI agent gets direct access to every tool listed below — spanning reservation-management, hostel-management, occupancy-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify HQBeds API connectivity
Create a reservation
Get account info
Get guest details
Get reservation details
Get room details
Use ISO 8601 dates. Check room availability
List all guests
List all reservations
List all rooms
Connect HQBeds to Pydantic AI via MCP
Follow these steps to wire HQBeds into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the HQBeds MCP Server
Pydantic AI provides unique advantages when paired with HQBeds 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 HQBeds integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your HQBeds connection logic from agent behavior for testable, maintainable code
HQBeds + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the HQBeds MCP Server delivers measurable value.
Type-safe data pipelines: query HQBeds with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple HQBeds tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query HQBeds and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock HQBeds responses and write comprehensive agent tests
Example Prompts for HQBeds in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with HQBeds immediately.
"List all reservations checking in today."
"Show room availability for this weekend."
"Create a reservation for Maria Silva, Room 205, checking in May 10 and out May 12."
Troubleshooting HQBeds MCP Server with Pydantic AI
Common issues when connecting HQBeds to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHQBeds + Pydantic AI FAQ
Common questions about integrating HQBeds 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.