Wherefour MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Get Inventory Item, Get Order, List Customers, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Wherefour 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 Wherefour app connector for Pydantic AI is a standout in the Industry Titans 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 Wherefour "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Wherefour?"
)
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 Wherefour MCP Server
Connect your Wherefour account to any AI agent to automate your inventory management, production tracking, and lot traceability. Wherefour provides a specialized ERP platform for manufacturers and producers to maintain end-to-end transparency across their supply chain.
Pydantic AI validates every Wherefour 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.
What you can do
- Inventory & Catalog Orchestration — List and search inventory items with detailed metadata, including product codes and manufacturing specifications.
- Lot Traceability — Access stock lot details and batch information to maintain comprehensive quality control and compliance.
- Order Management — Retrieve and monitor sales orders and production orders to keep your manufacturing workflow on track.
- Stakeholder Directory — Access and manage your database of customers, vendors, and suppliers programmatically.
- Financial Insights — Retrieve billing invoices and purchase records directly from the AI interface to monitor operational costs.
- Resource Navigation — Explore storage locations and manufacturing formulas using natural language commands.
The Wherefour 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 Wherefour tools available for Pydantic AI
When Pydantic AI connects to Wherefour through Vinkius, your AI agent gets direct access to every tool listed below — spanning lot-traceability, production-tracking, manufacturing, 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.
Get details of a specific inventory item
Get details of a specific order
List all customers
List production formulas/recipes
List all inventory items
List customer invoices
List storage locations
List all sales and production orders
List purchase records
List all stock lots
List all vendors/suppliers
Search for inventory items
Connect Wherefour to Pydantic AI via MCP
Follow these steps to wire Wherefour 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 Wherefour MCP Server
Pydantic AI provides unique advantages when paired with Wherefour 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 Wherefour integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Wherefour connection logic from agent behavior for testable, maintainable code
Wherefour + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Wherefour MCP Server delivers measurable value.
Type-safe data pipelines: query Wherefour with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Wherefour tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Wherefour and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Wherefour responses and write comprehensive agent tests
Example Prompts for Wherefour in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Wherefour immediately.
"Search our inventory for 'Organic Cane Sugar' and pull up the production formula that uses it for the upcoming beverage batch."
"Check the lot traceability for batch 'L-2024-QT3' of Arabica Coffee Beans and tell me which warehouse location it is currently stored in."
"List all pending production orders for 'Acme Supermarkets' and verify if their latest invoice from last month has been paid."
Troubleshooting Wherefour MCP Server with Pydantic AI
Common issues when connecting Wherefour to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWherefour + Pydantic AI FAQ
Common questions about integrating Wherefour 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.