Corsizio MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Corsizio as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Corsizio. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Corsizio?"
)
print(response)
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.
LlamaIndex agents combine Corsizio tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- 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 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 Corsizio to LlamaIndex via MCP
Follow these steps to integrate the Corsizio 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 10 tools from Corsizio
Why Use LlamaIndex with the Corsizio MCP Server
LlamaIndex provides unique advantages when paired with Corsizio through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Corsizio tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Corsizio tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Corsizio, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Corsizio tools were called, what data was returned, and how it influenced the final answer
Corsizio + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Corsizio MCP Server delivers measurable value.
Hybrid search: combine Corsizio real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Corsizio 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 Corsizio for fresh data
Analytical workflows: chain Corsizio queries with LlamaIndex's data connectors to build multi-source analytical reports
Corsizio MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Corsizio to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Corsizio to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCorsizio + LlamaIndex FAQ
Common questions about integrating Corsizio MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.