Orderry MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Client, Create Lead, Create Order, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Orderry 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 Orderry app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 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 Orderry "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Orderry?"
)
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 Orderry MCP Server
What you can do
- List and track repair orders and job tickets in real-time.
- Manage your CRM database, including individual clients and organizations.
- Monitor stock levels and inventory across multiple warehouses.
- Create new work orders and sales leads directly from your AI agent.
Who is it for?
- Repair shops and service center owners needing automated workflow control.
- Field service managers tracking jobs and technicians.
- Inventory managers syncing stock levels across retail and service locations.
Pydantic AI validates every Orderry tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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.
The Orderry MCP Server exposes 12 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 12 Orderry tools available for Pydantic AI
When Pydantic AI connects to Orderry through Vinkius, your AI agent gets direct access to every tool listed below — spanning repair-shop, service-center, crm, 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.
Add a new individual client
Record a new sales lead
Create a new work order
Get account profile information
Get details of a specific order
List individual clients (people)
List staff members
List products in stock
List sales leads
List Orderry work orders
List business clients (organizations)
List facility warehouses
Connect Orderry to Pydantic AI via MCP
Follow these steps to wire Orderry 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 Orderry MCP Server
Pydantic AI provides unique advantages when paired with Orderry 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 Orderry integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Orderry connection logic from agent behavior for testable, maintainable code
Orderry + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Orderry MCP Server delivers measurable value.
Type-safe data pipelines: query Orderry with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Orderry tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Orderry and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Orderry responses and write comprehensive agent tests
Example Prompts for Orderry in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Orderry immediately.
"List all active work orders in Orderry."
"Show me all open work orders assigned to the repair team this week."
"Create a new work order for a MacBook Pro battery replacement for customer ID cust_2847."
Troubleshooting Orderry MCP Server with Pydantic AI
Common issues when connecting Orderry to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOrderry + Pydantic AI FAQ
Common questions about integrating Orderry 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.