Hipsy MCP Server for LangChainGive LangChain instant access to 16 tools to Check Hipsy Status, Get Event, Get Event Revenue, and more

Name: Hipsy
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Hipsy through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

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The Hipsy MCP Server for LangChain is a standout in the Ecommerce category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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ChatGPT

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+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "hipsy": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Hipsy, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Hipsy MCP Server

Connect your Hipsy account to any AI agent and manage your event ticketing operations through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Hipsy through native MCP adapters. Connect 16 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Organisation Management — List all event organisations and inspect individual profiles
Event Browsing — List all events, filter upcoming or past events, and inspect full event details with ticket types and sales data
Order Tracking — Browse all ticket orders, filter by event, and inspect individual order details with buyer info and payment status
Ticket Configuration — View all ticket types for an event with pricing and availability
Attendee Management — List all attendees for an event with check-in status
Scan Analytics — Review ticket scan entries and aggregate check-in statistics (total scanned, scan rate)
Revenue Reporting — Retrieve total revenue, ticket sales breakdown, and payment data per event
Webhooks — List all configured webhook endpoints

list

List upcoming events on Hipsy

List upcoming events

list

List webhooks on Hipsy

List webhooks

Connect Hipsy to LangChain via MCP

Follow these steps to wire Hipsy into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 16 tools from Hipsy via MCP

Why Use LangChain with the Hipsy MCP Server

LangChain provides unique advantages when paired with Hipsy through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Hipsy MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Hipsy queries for multi-turn workflows

Hipsy + LangChain Use Cases

Practical scenarios where LangChain combined with the Hipsy MCP Server delivers measurable value.

RAG with live data: combine Hipsy tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Hipsy, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Hipsy tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Hipsy tool call, measure latency, and optimize your agent's performance

Example Prompts for Hipsy in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Hipsy immediately.

"Show all upcoming events and the ticket sales for the next one."

"Show the check-in stats for last Saturday's event and any attendees who haven't checked in."

"Show the revenue report for all past events this month."

Troubleshooting Hipsy MCP Server with LangChain

Common issues when connecting Hipsy to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Hipsy + LangChain FAQ

Common questions about integrating Hipsy MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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