Accelevents MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Accelevents 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="Accelevents Assistant",
instructions=(
"You help users interact with Accelevents. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Accelevents"
)
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 Accelevents MCP Server
Connect your Accelevents account to your AI agent to unlock effortless event orchestration. From managing large-scale attendee lists to tracking real-time session registration, your agent handles event logistics through natural conversation.
The OpenAI Agents SDK auto-discovers all 4 tools from Accelevents through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Accelevents, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Event Management — List all your active, past, or upcoming events and retrieve technical metadata for each
- Attendee Tracking — List participants, search for specific profiles, and monitor ticket sales for your events
- Session Registration — Manage event sessions and track user registrations to ensure optimal capacity planning
- Check-in Workflow — Quickly audit attendee check-ins and identify engagement patterns during live events
- Exhibitor Monitoring — Retrieve details on exhibitors and products to support your event's marketplace
The Accelevents MCP Server exposes 4 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 Accelevents to OpenAI Agents SDK via MCP
Follow these steps to integrate the Accelevents 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 4 tools from Accelevents
Why Use OpenAI Agents SDK with the Accelevents MCP Server
OpenAI Agents SDK provides unique advantages when paired with Accelevents 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
Accelevents + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Accelevents MCP Server delivers measurable value.
Automated workflows: build agents that query Accelevents, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Accelevents, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Accelevents tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Accelevents to resolve tickets, look up records, and update statuses without human intervention
Accelevents MCP Tools for OpenAI Agents SDK (4)
These 4 tools become available when you connect Accelevents to OpenAI Agents SDK via MCP:
list_attendees
Requires the event URL. Retrieve the participant list and ticket types for a specific Accelevents event
list_events
Retrieve a list of all active, past, and upcoming events in Accelevents
list_exhibitors
Requires the event URL. Retrieve details on companies exhibiting at a specific Accelevents event
list_sessions
Requires the event URL. Retrieve the schedule and session details for an Accelevents event
Example Prompts for Accelevents in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Accelevents immediately.
"Show me all upcoming events in my Accelevents account."
Troubleshooting Accelevents MCP Server with OpenAI Agents SDK
Common issues when connecting Accelevents to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Accelevents + OpenAI Agents SDK FAQ
Common questions about integrating Accelevents 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 Accelevents 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 Accelevents to OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.