Cin7 Core 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 Cin7 Core through 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 Cin7 Core "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Cin7 Core?"
)
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 Cin7 Core MCP Server
Integrate Cin7 Core (formerly DEAR Systems), the advanced cloud-based inventory management platform, directly into your AI workflow. Manage your product catalog, monitor real-time stock levels, track sales and purchase orders, and research customer and supplier data using natural language.
Pydantic AI validates every Cin7 Core 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
- Inventory Intelligence — List and retrieve detailed information for products and check real-time stock availability across warehouses.
- Order Management — Monitor sales and purchase orders, track their status, and access full fulfillment details.
- CRM & Supplier Research — Quickly access customer and supplier profiles and their historical interactions.
- Multi-warehouse Oversight — Track inventory locations and stock movement efficiently via chat.
The Cin7 Core 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 Cin7 Core to Pydantic AI via MCP
Follow these steps to integrate the Cin7 Core 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 Cin7 Core with type-safe schemas
Why Use Pydantic AI with the Cin7 Core MCP Server
Pydantic AI provides unique advantages when paired with Cin7 Core 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 Cin7 Core integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Cin7 Core connection logic from agent behavior for testable, maintainable code
Cin7 Core + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Cin7 Core MCP Server delivers measurable value.
Type-safe data pipelines: query Cin7 Core with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Cin7 Core tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Cin7 Core and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Cin7 Core responses and write comprehensive agent tests
Cin7 Core MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Cin7 Core to Pydantic AI via MCP:
get_all_stock_availability
Returns real-time availability data including on-hand, allocated, and available-to-sell quantities across all configured warehouse locations. Retrieve current stock availability across all warehouses
get_product_details
Resolves detailed attributes such as dimensions, weight, supplier info, and tax rules for the given product GUID. Get detailed information for a specific product by ID
get_sale_order_details
Resolves individual line items, shipping addresses, invoice details, and the current fulfillment progress. Get full details for a specific sales order
get_sku_stock_status
Provides a detailed breakdown of quantities across all physical locations and virtual bins. Get stock levels for a specific product SKU
list_crm_customers
Returns customer metadata including contact names, company details, and credit limits. List all customers registered in the system
list_crm_suppliers
Returns vendor profiles including primary contact info, default currency, and payment terms. List all suppliers and vendors
list_inventory_products
Returns a list of products with metadata including SKU, name, category, and base price. List all products in your Cin7 Core (DEAR) catalog
list_purchase_orders
Returns a list of purchase orders including supplier details, order date, and inbound status (e.g., ordered, received). List all purchase orders and inbound shipments
list_sales_orders
Returns order metadata including customer ID, total value, and current status (e.g., drafted, authorized, packed, shipped). List all sales orders and their current fulfillment status
search_products_by_sku
Returns stock and identification data for products matching the provided SKU identifier. Search for a product using its SKU
Example Prompts for Cin7 Core in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Cin7 Core immediately.
"What is the stock level for product SKU 'CH-1001'?"
"List all sales orders that are currently 'Awaiting Fulfillment'."
"Show me the contact details for supplier 'Furniture Pros'."
Troubleshooting Cin7 Core MCP Server with Pydantic AI
Common issues when connecting Cin7 Core to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCin7 Core + Pydantic AI FAQ
Common questions about integrating Cin7 Core 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 Cin7 Core 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 Cin7 Core to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.