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Senar.io MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 9 tools to Add Content, Create User And Assign, Get Activity Data, and more

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Senar.io through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Senar.io app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 9 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="Senar.io Assistant",
            instructions=(
                "You help users interact with Senar.io. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Senar.io"
        )
        print(result.final_output)

asyncio.run(main())
Senar.io
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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.

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.

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.

The Senar.io MCP Server exposes 9 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 9 Senar.io tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Senar.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning senar, augmented-reality, training-automation, 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.

add_content

Add content to a collection

create_user_and_assign

Create a new user and assign them to an AR collection

get_activity_data

Get detailed training activity results

get_collection_details

Get details for a content collection

get_progress

Get learning progress for a user

get_user_details

Get details for a specific user

get_user_sessions

List all sessions for a specific user

list_collections

List all AR simulator collections

list_users

List all users in your organization

Connect Senar.io to OpenAI Agents SDK via MCP

Follow these steps to wire Senar.io into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 9 tools from Senar.io

Why Use OpenAI Agents SDK with the Senar.io MCP Server

OpenAI Agents SDK provides unique advantages when paired with Senar.io through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Senar.io + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Senar.io MCP Server delivers measurable value.

01

Automated workflows: build agents that query Senar.io, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Senar.io, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Senar.io tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Senar.io to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Senar.io in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Senar.io immediately.

01

"List all active collections in my Senar account."

02

"Show me the learning progress for all users in the Engineering team with completion rates."

03

"Add a new training module to the Security collection and assign it to all engineering team members."

Troubleshooting Senar.io MCP Server with OpenAI Agents SDK

Common issues when connecting Senar.io to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Senar.io + OpenAI Agents SDK FAQ

Common questions about integrating Senar.io MCP Server with OpenAI Agents SDK.

01

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.
02

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.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.