join.me MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Create Webhook, Delete Meeting, Get Meeting, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect join.me through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The join.me app connector for OpenAI Agents SDK is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="join.me Assistant",
instructions=(
"You help users interact with join.me. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from join.me"
)
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 join.me MCP Server
Connect your join.me account to any AI agent and manage video meetings through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from join.me through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries join.me, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Meeting Scheduling — Create, update, and cancel meetings with customizable settings
- Participant Management — Invite participants, track attendance, and manage access
- Recording Access — List and retrieve meeting recordings
- Meeting History — Browse past meetings with duration and participant data
- Settings Configuration — Manage account and meeting preferences
The join.me 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.
All 10 join.me tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to join.me through Vinkius, your AI agent gets direct access to every tool listed below — spanning screen-sharing, meeting-scheduling, recording, 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.
Register a new webhook
Cancel/Delete a meeting
Get details of a specific meeting
me user profile. Get account information
me account. List your join.me meetings
me account. List registered webhooks
Schedule a future meeting
Start an instant meeting
Start a scheduled meeting
Update a scheduled meeting
Connect join.me to OpenAI Agents SDK via MCP
Follow these steps to wire join.me into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the join.me MCP Server
OpenAI Agents SDK provides unique advantages when paired with join.me 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
join.me + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the join.me MCP Server delivers measurable value.
Automated workflows: build agents that query join.me, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries join.me, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through join.me tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query join.me to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for join.me in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with join.me immediately.
"Schedule a team standup for tomorrow at 9 AM and invite the engineering team."
"Show this week's meeting history and list available recordings."
"Cancel tomorrow's 3 PM meeting and update the standup to 9:30 AM."
Troubleshooting join.me MCP Server with OpenAI Agents SDK
Common issues when connecting join.me to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
join.me + OpenAI Agents SDK FAQ
Common questions about integrating join.me 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.