Vinsight MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Vinsight through the 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 Vinsight "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Vinsight?"
)
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 Vinsight MCP Server
Connect your Vinsight operation to any AI agent and manage your entire beverage production business through natural conversation.
Pydantic AI validates every Vinsight tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the 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
- Stock Items — Search your product catalog: wines, beers, spirits, and raw materials with pricing and compliance codes
- Sales Orders — Track orders: customer, items, totals, status, and shipping across all channels
- Production Orders — Monitor production runs: input materials, output products, vessel assignments
- Batches — Track individual lots through the production lifecycle with batch codes and vintage
- Vessels — Monitor tanks, fermenters, barrels, and bright tanks with capacity and fill levels
- Lab Results — View QC analyses: pH, TA, alcohol, SO₂, dissolved oxygen, and residual sugar
- Inventory — Real-time stock levels across all warehouses: available, committed, and on-order
- Contacts — Manage customers, suppliers, and distributors
- Purchase Orders — Track incoming materials: grapes, bottles, corks, chemicals
The Vinsight 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.
How to Connect Vinsight to Pydantic AI via MCP
Follow these steps to integrate the Vinsight 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 12 tools from Vinsight with type-safe schemas
Why Use Pydantic AI with the Vinsight MCP Server
Pydantic AI provides unique advantages when paired with Vinsight 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 Vinsight integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Vinsight connection logic from agent behavior for testable, maintainable code
Vinsight + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Vinsight MCP Server delivers measurable value.
Type-safe data pipelines: query Vinsight with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Vinsight tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Vinsight and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Vinsight responses and write comprehensive agent tests
Vinsight MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Vinsight to Pydantic AI via MCP:
get_sales_order
Get order details
get_stock_item
The definitive product record. Get product details
list_batches
Track individual lots through the production lifecycle. List production batches
list_lab_results
Sorted by date. For quality control and compliance monitoring. List lab analysis results
list_production_orders
Tracks the winemaking or brewing process. List production orders
list_purchase_orders
Supply chain tracking for production inputs. List purchase orders
list_sales_orders
Core revenue tracking for wineries and breweries. List sales orders
list_stock_levels
Critical for fulfillment and reorder decisions. List current inventory
list_vessels
With capacity, current contents, fill level, and location. For cellar space planning. List tanks and barrels
list_warehouses
For multi-site inventory management. List warehouses
search_contacts
Returns contact profile, type, addresses, payment terms, and order history. Search contacts
search_stock_items
Returns product details including SKU, description, unit of measure, price, tax code, and current stock level. Works for wine, beer, spirits, and raw materials. Search wine/beer/spirit products
Example Prompts for Vinsight in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Vinsight immediately.
"What's our current Chardonnay 2024 inventory?"
"Create a new production order to blend 500L of 'Batch 44' into Tank 12."
"Check the latest lab results for the Pinot Noir fermentations in Tank B."
Troubleshooting Vinsight MCP Server with Pydantic AI
Common issues when connecting Vinsight to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiVinsight + Pydantic AI FAQ
Common questions about integrating Vinsight 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 Vinsight 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 Vinsight to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.