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 Pydantic AI 4 tools — connect in under 2 minutes

Name: Open Brewery DB
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Open Brewery DB through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 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 Open Brewery DB "
            "(4 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 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.

Pydantic AI validates every Open Brewery DB tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through 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.

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 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 Open Brewery DB to Pydantic AI via MCP

Follow these steps to integrate the Open Brewery DB 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 4 tools from Open Brewery DB with type-safe schemas

Why Use Pydantic AI with the Open Brewery DB MCP Server

Pydantic AI provides unique advantages when paired with Open Brewery DB 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 Open Brewery DB integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Open Brewery DB connection logic from agent behavior for testable, maintainable code

Open Brewery DB + Pydantic AI Use Cases

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

Type-safe data pipelines: query Open Brewery DB with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Open Brewery DB tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Open Brewery DB and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Open Brewery DB responses and write comprehensive agent tests

Open Brewery DB MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect Open Brewery DB to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Open Brewery DB + Pydantic AI FAQ

Common questions about integrating Open Brewery DB MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Open Brewery DB MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.