What brewery types are available?

Six types: micro (small-scale production), nano (ultra-small, often home-based), regional (large-scale distribution), brewpub (restaurant+brewery combo), contract (brewed at another location), and proprietor (owner-operated with minimal production).

Can I search for breweries by location coordinates?

Yes, many entries in the Open Brewery DB include precise latitude and longitude coordinates, making it possible to query for breweries near a specific geographical point.

Are international breweries included?

While the primary focus of Open Brewery DB has historically been the United States, it is actively expanding to include breweries from the UK, Ireland, South Korea, and other international locations.

Open Brewery DB MCP Server for LlamaIndex 4 tools — connect in under 2 minutes

Name: Open Brewery DB
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 4 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Open Brewery DB as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Open Brewery DB. "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Open Brewery DB?"
    )
    print(response)

asyncio.run(main())

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About Open Brewery DB MCP Server

The Open Brewery DB MCP Server gives your AI agent access to a comprehensive, open-source database of breweries across the United States.

LlamaIndex agents combine Open Brewery DB tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

Core Capabilities

Search by Name — Find any brewery by name or keyword.
Filter by City — Discover all breweries in San Diego, Portland, Denver, Austin, or any city.
Filter by State — Browse breweries across California, Colorado, Oregon, Texas, New York, and all 50 states.
Filter by Type — Explore micro-breweries, nano-breweries, regional breweries, brewpubs, contract brewers, and proprietor operations.
Contact Info — Every brewery includes address, phone number, website, and GPS coordinates.

Zero authentication required. Free and open-source. Essential for travel, lifestyle, and hospitality AI agents.

The Open Brewery DB MCP Server exposes 4 tools through the Vinkius. Connect it to LlamaIndex 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 Open Brewery DB to LlamaIndex via MCP

Follow these steps to integrate the Open Brewery DB MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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 4 tools from Open Brewery DB

Why Use LlamaIndex with the Open Brewery DB MCP Server

LlamaIndex provides unique advantages when paired with Open Brewery DB through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Open Brewery DB tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Open Brewery DB tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Open Brewery DB, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Open Brewery DB tools were called, what data was returned, and how it influenced the final answer

Open Brewery DB + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Open Brewery DB MCP Server delivers measurable value.

Hybrid search: combine Open Brewery DB real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Open Brewery DB to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Open Brewery DB for fresh data

Analytical workflows: chain Open Brewery DB queries with LlamaIndex's data connectors to build multi-source analytical reports

Open Brewery DB MCP Tools for LlamaIndex (4)

These 4 tools become available when you connect Open Brewery DB to LlamaIndex via MCP:

find_breweries_by_city

Great for travel planning and local craft beer exploration. Find all breweries in a specific city

find_breweries_by_state

Use full state names (e.g. California, Colorado, Oregon, Texas, New York). Find breweries in a specific state

find_breweries_by_type

Find breweries by type (micro, nano, brewpub, regional, etc.)

search_breweries

Covers micro-breweries, nano-breweries, regional breweries, brewpubs, and more across the United States. Search for breweries by name or keyword

Example Prompts for Open Brewery DB in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Open Brewery DB immediately.

"Find me craft breweries in Portland."

"List some nanobreweries in Colorado."

"I need the address and website for Russian River Brewing in California."

Troubleshooting Open Brewery DB MCP Server with LlamaIndex

Common issues when connecting Open Brewery DB to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Open Brewery DB + LlamaIndex FAQ

Common questions about integrating Open Brewery DB MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Open Brewery DB tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.