How to Use the Winevybe MCP in LlamaIndex

Q: Can LlamaIndex handle multi-step wine analysis with Winevybe?

Yes. You can combine tools like searchwines and then use the output to populate an index alongside pairing data from getpairings. The whole conversation is grounded in API results.

Q: Does Winevybe support complex comparisons with LlamaIndex?

You use the comparewines tool, and we index those comparison details. This lets you query across multiple comparative data points in a single RAG session.

Build knowledge-augmented systems with LlamaIndex and Winevybe's data indexing.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Winevybe MCP to LlamaIndex

Create your Vinkius account to connect Winevybe to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Winevybe with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Indexing Winery Data for LlamaIndex

Don't just query wine facts—index them. When you use tools like `get_winery_info` or `get_region_info`, the resulting data becomes part of a searchable knowledge base. This lets your agent answer questions grounded in actual API results, not guesswork. LlamaIndex indexes this output into vector stores. You can query past sessions and live wine data together, creating a unified index for RAG applications.

Searchable Wine Reviews with MCP Server

Need to know what people think? Use `get_reviews` to pull community ratings and tasting notes. Crucially, LlamaIndex takes those raw reviews and turns them into a searchable index. You can query 'best reds for grilling' against thousands of indexed user comments. The resulting knowledge base means you don't lose context; you build on it.

Cross-Reference Wine Details with LlamaIndex

Want to know how a specific wine compares to its region? First, call `get_wine_detail` for the bottle. Then, index those stats alongside data from `get_region_info`. You can then ask complex questions like: 'How do these tasting notes compare to typical characteristics of Bordeaux?' The MCP Server output becomes a rich, interconnected knowledge source.

Setup guide

Set up Winevybe MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Winevybe MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Winevybe tools.",
)
response = await agent.run("List recent Winevybe data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Winevybe. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Winevybe now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Winevybe MCP in LlamaIndex

Yes. You can combine tools like `search_wines` and then use the output to populate an index alongside pairing data from `get_pairings`. The whole conversation is grounded in API results.

This server touches structured metadata like vintage scores, appellation details (`get_region_info`), and user cellar inventory. This is all indexed for semantic search.

By indexing the tool output into a vector store, you can query historical API results—like previous `get_user_cellar` reports—and get answers based on that actual data.

You use the `compare_wines` tool, and we index those comparison details. This lets you query across multiple comparative data points in a single RAG session.

The server touches user cellar inventory and personal wine data. When indexing, this information is treated as knowledge for retrieval, allowing you to query your own records privately.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript