Eventmaker MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Eventmaker through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Eventmaker Assistant",
instructions=(
"You help users interact with Eventmaker. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Eventmaker"
)
print(result.final_output)
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 Eventmaker MCP Server
Integrate Eventmaker, the comprehensive event management software, directly into your AI workflow. Manage your corporate events and trade shows, track registered participants and exhibitors, monitor session schedules and real-time check-ins, and oversee your event performance using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Eventmaker through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Eventmaker, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Event Oversight — List and retrieve detailed information, start dates, and status for all your Eventmaker projects.
- Participant Intelligence — Monitor registered participants and exhibitors, resolving names, emails, and professional categories.
- Operational Management — Access and monitor event sessions and real-time check-in logs to stay ahead of attendee flow.
- Performance Auditing — Retrieve high-level summaries of registration volume, check-in rates, and organizational event health instantly.
The Eventmaker MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Eventmaker to OpenAI Agents SDK via MCP
Follow these steps to integrate the Eventmaker MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Eventmaker
Why Use OpenAI Agents SDK with the Eventmaker MCP Server
OpenAI Agents SDK provides unique advantages when paired with Eventmaker through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Eventmaker + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Eventmaker MCP Server delivers measurable value.
Automated workflows: build agents that query Eventmaker, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Eventmaker, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Eventmaker tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Eventmaker to resolve tickets, look up records, and update statuses without human intervention
Eventmaker MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Eventmaker to OpenAI Agents SDK via MCP:
get_event_detailed_data
Get detailed settings and information for a specific event
get_event_performance_stats
Get high-level performance metrics for a specific event
get_eventmaker_account_metadata
Retrieve metadata and limits for your Eventmaker account
list_all_events
List all events managed in your Eventmaker account
list_currently_ongoing_events
Identify events that are currently active or ongoing
list_event_checkins_log
List all check-in events and logs for a specific event
list_event_exhibitors
List all exhibitors and partners for a specific event
list_event_participants
List all registered participants for a specific event
list_event_sessions
List all sessions and schedule items for a specific event
quick_event_engagement_audit
Retrieve a high-level summary of participants and check-ins
Example Prompts for Eventmaker in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Eventmaker immediately.
"List all participants for event ID '12345'."
"Show me the check-in log for today."
"Get performance stats for 'Autumn Trade Show'."
Troubleshooting Eventmaker MCP Server with OpenAI Agents SDK
Common issues when connecting Eventmaker to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Eventmaker + OpenAI Agents SDK FAQ
Common questions about integrating Eventmaker MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Eventmaker 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 Eventmaker to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
