Bring Screen Sharing
to OpenAI Agents SDK
Learn how to connect join.me to OpenAI Agents SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the join.me MCP Server?
Connect your join.me account to any AI agent and manage video meetings through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your join.me Access Token
3. Start managing meetings from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Teams — schedule meetings and manage invites through AI
- Managers — review meeting history and recording availability
- Assistants — coordinate calendars and meeting logistics
Built-in capabilities (10)
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
Why OpenAI Agents SDK?
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.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
join.me in OpenAI Agents SDK
join.me and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect join.me to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for join.me in OpenAI Agents SDK
The join.me 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
join.me for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the join.me MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I schedule meetings and invite participants?
Yes. Create meetings with date, time, duration, and participant list. Update existing meetings and cancel when needed. Each meeting generates a join link for easy sharing.
Can I access meeting recordings?
Yes. List all available recordings and retrieve download links. Recordings include meeting metadata, duration, and participant information.
Can I view past meeting history and attendance?
Yes. Browse meeting history with details including duration, participant count, attendees, and whether the meeting was recorded.
How does the OpenAI Agents SDK connect to MCP?
Use 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?
Yes. Pass a list of 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?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
