PunkAPI MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect PunkAPI through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 PunkAPI "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in PunkAPI?"
)
print(result.data)
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 PunkAPI MCP Server
Connect to PunkAPI and explore BrewDog's DIY Dog beer catalog through natural conversation — completely free, no API key needed.
Pydantic AI validates every PunkAPI tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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.
What you can do
- Beer Search — Search beers by name, style, ABV, IBU, hops, yeast, malts and food pairing
- Random Beers — Get random beer suggestions for discovery
- Beer Details — Get full details including ingredients, brewing tips and food pairings
- Filter by ABV — Find session beers (low ABV) or strong beers (high ABV)
- Filter by IBU — Find mild or bitter beers based on preference
- Food Pairing — Find beers that pair well with specific foods
- Hop Varieties — Search beers by specific hop varieties
The PunkAPI MCP Server exposes 8 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 PunkAPI to Pydantic AI via MCP
Follow these steps to integrate the PunkAPI 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 8 tools from PunkAPI with type-safe schemas
Why Use Pydantic AI with the PunkAPI MCP Server
Pydantic AI provides unique advantages when paired with PunkAPI 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 PunkAPI integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your PunkAPI connection logic from agent behavior for testable, maintainable code
PunkAPI + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the PunkAPI MCP Server delivers measurable value.
Type-safe data pipelines: query PunkAPI with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple PunkAPI tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query PunkAPI and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock PunkAPI responses and write comprehensive agent tests
PunkAPI MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect PunkAPI to Pydantic AI via MCP:
get_all_beers
Supports searching by name, ABV range, IBU range, EBC (color), malts, hops, yeast, food pairing and brewing date range. Returns beer names, descriptions, ABV, IBU, ingredients and food pairing suggestions. Pagination supported with page and per_page parameters. Search BrewDog beers with filters
get_beer_by_id
Returns name, description, ABV, IBU, EBC, first brewed date, tagline, ingredients (malts, hops, yeast), food pairing suggestions, brewers tips and description. Get a specific beer by ID
get_beers_by_abv
Use abv_gt for minimum ABV and abv_lt for maximum ABV. Useful for finding session beers (low ABV) or strong beers (high ABV). Search beers by ABV (alcohol by volume) range
get_beers_by_food
Common pairings include: "cheese", "burger", "spicy", "dessert", "chicken", "fish", "pork", "bbq", "chocolate", "fruit". Returns matching beers with their food pairing suggestions. Search beers by food pairing suggestion
get_beers_by_hops
Common hops include: "Cascade", "Citra", "Mosaic", "Amarillo", "Simcoe", "Galaxy", "Chinook", "Centennial". Returns matching beers with full hop ingredient details. Search beers by hop variety
get_beers_by_ibu
Low IBU (<20) = mild, Medium IBU (20-40) = balanced, High IBU (40-60) = bitter, Very High IBU (>60) = very bitter. Useful for finding beers matching bitterness preference. Search beers by IBU (International Bitterness Units) range
get_beers_by_style
Common styles include: "American IPA", "Scottish Ale", "Belgian IPA", "English IPA", "Porter", "Stout", "Lager", "Pilsner", "Wheat Beer", "Sour". Returns beer names, ABV, IBU and descriptions. Search beers by style
get_random_beer
Useful for discovering new beers. Can return 1-25 random beers at once. Get random beer(s) from the catalog
Example Prompts for PunkAPI in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with PunkAPI immediately.
"Give me a random beer suggestion."
"Find me beers that pair well with cheese."
"Show me all BrewDog IPAs."
Troubleshooting PunkAPI MCP Server with Pydantic AI
Common issues when connecting PunkAPI to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiPunkAPI + Pydantic AI FAQ
Common questions about integrating PunkAPI MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect PunkAPI 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 PunkAPI to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.