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Corsizio MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Get Account Info, Get Attendee Details, Get Event Details, and more

Built by Vinkius GDPR 12 Tools Framework

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 App Connector for LlamaIndex

The Corsizio app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Corsizio. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())
Corsizio
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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

Connect your Corsizio account to any AI agent and take full control of your event registration and participant engagement workflows through natural conversation.

LlamaIndex agents combine Corsizio tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 Orchestration — List and manage all active and past events programmatically, retrieving detailed metadata about schedules, locations, and pricing
  • Attendee Lifecycle — Access complete participant profiles and registration details to maintain high-fidelity records of your event audience
  • Operational Intelligence — Retrieve directories of instructors, locations, and categories to understand your event ecosystem directly through your agent
  • Feedback & Payout Tracking — Access participant reviews and monitor account payouts programmatically to coordinate your event's financial and quality oversight
  • Activity Monitoring — Retrieve account activity logs and manage discount coupons directly from your agent for perfectly coordinated event operations

The Corsizio MCP Server exposes 12 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.

All 12 Corsizio tools available for LlamaIndex

When LlamaIndex connects to Corsizio through Vinkius, your AI agent gets direct access to every tool listed below — spanning corsizio, event-registration-api, attendee-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_account_info

Get Corsizio account details

get_attendee_details

Get details for a specific attendee

get_event_details

Get details for a specific event

list_activity_logs

List account activity logs

list_attendees

List all event attendees

list_discount_coupons

List all discount coupons

list_event_categories

List all event categories

list_event_feedback

List participant feedback

list_event_locations

List all event locations

list_events

Supports optional query parameters for filtering. List all events

list_instructors

List all instructors

list_payouts

List account payouts

Connect Corsizio to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Corsizio

Why Use LlamaIndex with the Corsizio MCP Server

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

01

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

02

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

03

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

04

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.

01

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

02

Data enrichment: query Corsizio to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Corsizio for fresh data

04

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

Example Prompts for Corsizio in LlamaIndex

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

01

"List all active events in my Corsizio account."

02

"Show the attendee details for event ID 'ev_123'."

03

"Get the latest feedback for 'AI Workshop 2026'."

Troubleshooting Corsizio MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Corsizio + LlamaIndex FAQ

Common questions about integrating Corsizio MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Corsizio tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.