Bring Lot Traceability
to Pydantic AI
Learn how to connect Wherefour to Pydantic AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Wherefour API Key and API Secret from your account settings
3. Select your environment (Production or Sandbox)
4. Start managing your ERP and inventory from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Operations Managers — quickly check stock levels and production order statuses without switching apps.
- Quality Control Teams — track lot traceability and batch metadata via natural conversation.
- Inventory Controllers — streamline item searches and vendor management through simple AI commands.
Built-in capabilities (12)
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
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Wherefour integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Wherefour connection logic from agent behavior for testable, maintainable code
Wherefour in Pydantic AI
Wherefour and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Wherefour to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Wherefour in Pydantic AI
The Wherefour 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Wherefour for Pydantic AI
Every tool call from Pydantic AI to the Wherefour MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Wherefour API Key and Secret?
Log in to your Wherefour account, navigate to Settings > API, and generate a new set of credentials for your integration.
Can the agent check lot availability for a specific item?
Yes! Use the list_stock_lots tool to retrieve all available batches and their current quantities for any item in your catalog.
How does Pydantic AI discover MCP tools?
Create an 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?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Wherefour MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai