How do I find my AlisQI Bearer Token?

Log in to AlisQI, navigate to **Menu** > **Management** > **Integration Hub**. You can generate and manage your API tokens there. Each token inherits the permissions of the associated user account.

Is the data model the same for everyone?

No, AlisQI uses a dynamic, user-defined data model. This means field names and analysis sets are specific to your company's configuration. Use the `list_analysis_sets` tool to discover your unique structure.

Can I attach files to quality results via the agent?

Currently, the agent can retrieve metadata for existing attachments using the `get_result_attachments` tool. For uploading new files, we recommend using the AlisQI web interface or specific integration endpoints.

AlisQI MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: AlisQI
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="AlisQI Assistant",
            instructions=(
                "You help users interact with AlisQI. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 AlisQI MCP Server

Connect your AlisQI instance to your AI agent to unlock professional quality management (QMS) orchestration. From auditing quality results and managing analysis sets to retrieving technical metadata for fields and monitoring workflow webhooks, your agent handles your quality operations through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from AlisQI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AlisQI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Results Orchestration — List, retrieve, and store quality results for any of your custom analysis sets
Schema Discovery — List and audit analysis sets and their field definitions to understand your dynamic data model
Document Oversight — Retrieve technical metadata for result attachments and monitor your quality documentation
Workflow Monitoring — List active webhooks to ensure your quality event triggers (like non-conformities) are operational
QMS Insights — Quickly identify quality trends or audit recent analysis entries directly from your chat interface

The AlisQI 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.

How to Connect AlisQI to OpenAI Agents SDK via MCP

Follow these steps to integrate the AlisQI 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 10 tools from AlisQI

Why Use OpenAI Agents SDK with the AlisQI MCP Server

OpenAI Agents SDK provides unique advantages when paired with AlisQI 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

AlisQI + OpenAI Agents SDK Use Cases

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

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

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

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

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

AlisQI MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect AlisQI to OpenAI Agents SDK via MCP:

get_analysis_set_details

Get set metadata

get_api_info

Check API status

get_result_attachments

List document attachments

get_result_details

Get specific result

list_active_webhooks

List active triggers

list_analysis_sets

List analysis sets

list_choice_lists

List selection menus

list_fields

List dynamic fields

list_results

Supports filtering. List quality results

store_results

Create or update results

Example Prompts for AlisQI in OpenAI Agents SDK

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

"List all analysis sets available in my AlisQI instance."

"Show the last 5 quality results for 'Raw Material Inspection'."

"Check if there are any active webhooks for non-conformities."

Troubleshooting AlisQI MCP Server with OpenAI Agents SDK

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

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.

AlisQI + OpenAI Agents SDK FAQ

Common questions about integrating AlisQI MCP Server with OpenAI Agents SDK.

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.