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Corsizio MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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({
        "corsizio": {
            "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 Corsizio, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Corsizio
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
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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 Corsizio MCP Server

Integrate Corsizio, the streamlined event registration platform, directly into your AI workflow. Manage your classes, workshops, and seminars, track attendee lists, and monitor revenue using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Corsizio through native MCP adapters. Connect 10 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

  • Event Management — List and retrieve details for all your upcoming and past events.
  • Attendee Tracking — Quickly access registration lists and individual attendee profiles.
  • Financial Monitoring — Track payments, refunds, and coupon usage across your events.
  • Account Statistics — Get real-time insights into your total registrations and account growth.

The Corsizio MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Corsizio to LangChain via MCP

Follow these steps to integrate the Corsizio MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Corsizio via MCP

Why Use LangChain with the Corsizio MCP Server

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

01

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

02

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

03

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

04

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

Corsizio + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Corsizio MCP Tools for LangChain (10)

These 10 tools become available when you connect Corsizio to LangChain via MCP:

01

get_account_stats

Resolves total revenue, registration counts, and event performance metrics. Retrieve high-level statistics for your Corsizio account

02

get_attendee_details

Touches personal details, payment history, and event enrollment boundaries. Get full registration profile for an attendee

03

get_event_details

Touches event configuration, pricing, and registration boundary. Get detailed information for a specific event

04

list_attendees

Resolves attendee name, email, registration date, and payment status. List all registered attendees for a specific event

05

list_coupons

Resolves code names, discount amounts (percentage or fixed), and expiration constraints. List all discount codes and coupons

06

list_events

Resolves properties such as event ID, name, date, time, and current registration status. List all events in your Corsizio account

07

list_instructors

Resolves instructor names, contact info, and associated specialties. List all instructors or teachers

08

list_locations

Resolves location names, addresses, and capacity limits. List physical or online locations for events

09

list_payments

Resolves payment IDs, amounts, currencies, and associated event/attendee references. List all payment transactions

10

list_refunds

Resolves refund amount, original transaction reference, and processing date. List all processed refunds

Example Prompts for Corsizio in LangChain

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

01

"List all my upcoming events for the next month."

02

"How many people are registered for the 'Photography Basics' event?"

03

"Show me the total revenue generated from registrations this week."

Troubleshooting Corsizio MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Corsizio + LangChain FAQ

Common questions about integrating Corsizio MCP Server with LangChain.

01

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.
02

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.
03

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.

Connect Corsizio to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.