Bring Senar
to OpenAI Agents SDK
Learn how to connect Senar.io to OpenAI Agents SDK and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Senar.io MCP Server?
Connect your Senar.io account to any AI agent and take full control of your augmented reality training orchestration through natural conversation. Senar.io provides a premier platform for VR/AR simulators, and this integration allows you to retrieve training metadata, assign simulators to users, and monitor performance results directly from your chat interface.
What you can do
- User & Trainee Orchestration — List all managed users and retrieve detailed profile metadata, including creating and assigning users to collections programmatically.
- Simulator Lifecycle Management — Access and monitor your AR simulator collections and retrieve detailed module metadata directly from the AI interface.
- Activity & Performance Intelligence — Retrieve real-time training activity logs, including attempts, success rates, and duration data via natural language.
- Session & History Control — Access historical user session history to ensure your training compliance and skill development are always synchronized.
- Operational Monitoring — Track organization-wide training health and manage collection assignments using simple AI commands.
How it works
1. Subscribe to this server
2. Enter your Senar Studio Username and Password
3. Start managing your AR training workflows from Claude, Cursor, or any MCP-compatible client
No more manual user imports or spreadsheet result tracking. Your AI acts as a dedicated training coordinator or LMS assistant.
Who is this for?
- Training Managers — quickly retrieve trainee results and monitor simulator usage without switching apps.
- L&D Teams — automate the assignment of training modules and track skill acquisition via natural conversation.
- Safety Officers — streamline the retrieval of session records and monitor certification compliance directly within the chat.
Built-in capabilities (9)
Add content to a collection
Create a new user and assign them to an AR collection
Get detailed training activity results
Get details for a content collection
Get learning progress for a user
Get details for a specific user
List all sessions for a specific user
List all AR simulator collections
List all users in your organization
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 9 tools from Senar.io through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Senar.io, 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
Senar.io in OpenAI Agents SDK
Senar.io and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Senar.io 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 Senar.io in OpenAI Agents SDK
The Senar.io 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 9 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
Senar.io for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Senar.io MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically assign a new user to a specific simulator collection?
Yes! Use the create_user_and_assign tool. Provide the user details and the Collection ID, and your agent will create the record and grant access instantly.
How do I find a collectionId for my simulators?
In Senar Studio, open your collection; the ID is the numeric value at the end of the URL (e.g., .../Collections/Edit/123).
Are training results available in real-time?
Yes, as soon as a trainee completes a session in the AR simulator, the data is pushed to the API and accessible via the get_activity_data tool.
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.
