VineRadar MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add VineRadar 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="vineradar_agent",
tools=tools,
system_message=(
"You help users with VineRadar. "
"6 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 VineRadar MCP Server
Empower your AI agent to orchestrate your entire wine research and vineyard auditing workflow with VineRadar, the comprehensive platform for global wine data. By connecting VineRadar to your agent, you transform complex varietal searches into a natural conversation. Your agent can instantly search for specific wines, audit vineyard locations, and retrieve detailed vintage metadata without you ever touching a wine app. Whether you are building a personal cellar or conducting market research on varietals, your agent acts as a real-time sommelier, ensuring your data is always detailed and well-categorized.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use VineRadar tools. Connect 6 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
- Wine Auditing — Search for thousands of wines by name or keyword and retrieve detailed metadata, including ratings and vintages.
- Vineyard Oversight — Browse vineyard profiles by location to maintain a clear view of regional wine production.
- Varietal Discovery — Query wine varietals to understand the technological and regional distribution of specific grape types instantly.
- Vintage Intelligence — Retrieve full details for specific wine IDs to assist in deep-dive collection audits.
- Market Monitoring — List all supported varietals in the VineRadar catalog to identify trending wine themes in real-time.
The VineRadar MCP Server exposes 6 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 VineRadar to AutoGen via MCP
Follow these steps to integrate the VineRadar 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 6 tools from VineRadar automatically
Why Use AutoGen with the VineRadar MCP Server
AutoGen provides unique advantages when paired with VineRadar through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use VineRadar tools to solve complex tasks
Role-based architecture lets you assign VineRadar 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 VineRadar tool calls
Code execution sandbox: AutoGen agents can write and run code that processes VineRadar tool responses in an isolated environment
VineRadar + AutoGen Use Cases
Practical scenarios where AutoGen combined with the VineRadar MCP Server delivers measurable value.
Collaborative analysis: one agent queries VineRadar while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from VineRadar, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using VineRadar data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process VineRadar responses in a sandboxed execution environment
VineRadar MCP Tools for AutoGen (6)
These 6 tools become available when you connect VineRadar to AutoGen via MCP:
check_api_status
Check if the VineRadar API is operational
get_vineyard_details
Get full details for a specific vineyard by ID
get_wine_details
Get full details for a specific wine by ID
list_wine_varietals
List all wine varietals supported by VineRadar
search_vineyards
Search for vineyards by location
search_wines
Search for wines by name or keyword
Example Prompts for VineRadar in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with VineRadar immediately.
"Search for 'Cabernet Sauvignon' wines using VineRadar."
"Find vineyards in 'Napa Valley'."
"What are the details for wine ID 12345?"
Troubleshooting VineRadar MCP Server with AutoGen
Common issues when connecting VineRadar to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"VineRadar + AutoGen FAQ
Common questions about integrating VineRadar 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 VineRadar 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 VineRadar to AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
