Do I need an API key?

No! PunkAPI is completely free and open. No authentication required. Just subscribe and start searching beers.

What does ABV and IBU mean?

ABV (Alcohol By Volume) measures alcohol content percentage. IBU (International Bitterness Units) measures bitterness: 60 = very bitter.

PunkAPI MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Name: PunkAPI
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PunkAPI 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

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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 PunkAPI. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())

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About PunkAPI MCP Server

Connect to PunkAPI and explore BrewDog's DIY Dog beer catalog through natural conversation — completely free, no API key needed.

LlamaIndex agents combine PunkAPI tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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.

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 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 PunkAPI to LlamaIndex via MCP

Follow these steps to integrate the PunkAPI 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 8 tools from PunkAPI

Why Use LlamaIndex with the PunkAPI MCP Server

LlamaIndex provides unique advantages when paired with PunkAPI through the Model Context Protocol.

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

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

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

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

PunkAPI + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the PunkAPI MCP Server delivers measurable value.

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

Data enrichment: query PunkAPI 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 PunkAPI for fresh data

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

PunkAPI MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect PunkAPI to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting PunkAPI to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

PunkAPI + LlamaIndex FAQ

Common questions about integrating PunkAPI 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 PunkAPI tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.