Corsizio MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
The largest ecosystem of integrations, chains, and agents. combine Corsizio 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 Corsizio queries for multi-turn workflows
Corsizio + LangChain Use Cases
Practical scenarios where LangChain combined with the Corsizio MCP Server delivers measurable value.
RAG with live data: combine Corsizio tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Corsizio, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Corsizio tools with web scrapers, databases, and calculators in a single agent run
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:
get_account_stats
Resolves total revenue, registration counts, and event performance metrics. Retrieve high-level statistics for your Corsizio account
get_attendee_details
Touches personal details, payment history, and event enrollment boundaries. Get full registration profile for an attendee
get_event_details
Touches event configuration, pricing, and registration boundary. Get detailed information for a specific event
list_attendees
Resolves attendee name, email, registration date, and payment status. List all registered attendees for a specific event
list_coupons
Resolves code names, discount amounts (percentage or fixed), and expiration constraints. List all discount codes and coupons
list_events
Resolves properties such as event ID, name, date, time, and current registration status. List all events in your Corsizio account
list_instructors
Resolves instructor names, contact info, and associated specialties. List all instructors or teachers
list_locations
Resolves location names, addresses, and capacity limits. List physical or online locations for events
list_payments
Resolves payment IDs, amounts, currencies, and associated event/attendee references. List all payment transactions
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.
"List all my upcoming events for the next month."
"How many people are registered for the 'Photography Basics' event?"
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCorsizio + LangChain FAQ
Common questions about integrating Corsizio MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Corsizio 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 Corsizio to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
