InnoVint MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add InnoVint as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="innovint_agent",
tools=tools,
system_message=(
"You help users with InnoVint. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 InnoVint MCP Server
Connect your InnoVint winery to any AI agent and transform how your cellar team works — from harvest intake to bottling.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use InnoVint tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Lots — Search and track wine lots by varietal, vintage, lot code, or vessel assignment
- Vessels — Monitor tanks, barrels, concrete eggs, and amphorae — capacity, fill level, and contents
- Lab Analyses — View pH, TA, SO2, Brix, RS, VA, and alcohol readings for any lot over time
- Cellar Actions — Track rackings, pump-overs, punchdowns, additions, fining, and filtration history
- Wines & Vintages — Browse wine products and navigate production by vintage year
- Additives — Reference registered chemicals, enzymes, and fining agents with dosage guidelines
- Multi-Winery — Manage multiple wineries from a single AI connection
The InnoVint MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 InnoVint to AutoGen via MCP
Follow these steps to integrate the InnoVint MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from InnoVint automatically
Why Use AutoGen with the InnoVint MCP Server
AutoGen provides unique advantages when paired with InnoVint through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use InnoVint tools to solve complex tasks
Role-based architecture lets you assign InnoVint tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive InnoVint tool calls
Code execution sandbox: AutoGen agents can write and run code that processes InnoVint tool responses in an isolated environment
InnoVint + AutoGen Use Cases
Practical scenarios where AutoGen combined with the InnoVint MCP Server delivers measurable value.
Collaborative analysis: one agent queries InnoVint while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from InnoVint, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using InnoVint data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process InnoVint responses in a sandboxed execution environment
InnoVint MCP Tools for AutoGen (10)
These 10 tools become available when you connect InnoVint to AutoGen via MCP:
get_lot
The primary data point for any winemaking question. Get full lot details
get_vessel
Essential for barrel program management. Get vessel details
list_actions
Filter by lot to see complete cellar history. List cellar actions
list_additives
With regulatory limits and typical dosage. List additives
list_analyses
Filter by lot to see a specific wine's chemistry over time. List lab analyses
list_vessels
Shows capacity, current contents, fill level, and location. Critical for cellar management and space planning. List tanks and barrels
list_vintages
Navigate wine production by year. List vintages
list_wineries
Multi-winery operations can manage several facilities from one account. List wineries
list_wines
Each with varietal rules, appellation, and production notes. List wine products
search_lots
Returns lot details including volume, vessel assignment, varietal composition, and current status. Essential for tracking individual batches through the winemaking process — from harvest intake to bottling. Search wine lots
Example Prompts for InnoVint in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with InnoVint immediately.
"How is the 2025 Pinot Noir fermentation going?"
"Record a new lab reading for the 2025 Chardonnay: pH is 3.32 and TA is 6.5 g/L."
"Which vessels are currently empty and available for the upcoming harvest?"
Troubleshooting InnoVint MCP Server with AutoGen
Common issues when connecting InnoVint to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"InnoVint + AutoGen FAQ
Common questions about integrating InnoVint MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect InnoVint 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 InnoVint to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
