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AlisQI MCP, Ready to Go

Use AlisQI MCP with Claude or Cursor to manage quality results, audit QMS data, and monitor webhooks through a conversational AI agent.

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Manage quality management system results and audits through a conversational interface.

AlisQI MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the AlisQI Connector?

892ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 722ms
Average 892ms
Max 1691ms
Trend (improving) ↓ 15%
Daily latency
1691ms 7/12/2026
819ms 7/13/2026
914ms 7/14/2026
941ms 7/15/2026
887ms 7/16/2026
937ms 7/17/2026
974ms 7/18/2026
913ms 7/19/2026
1037ms 7/20/2026
1007ms 7/21/2026
851ms 7/22/2026
755ms 7/23/2026
778ms 7/24/2026
722ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with AlisQI 10 Tools for QMS Data Orchestration

Use these tools to manage analysis sets, store results, and monitor quality webhooks via your AI agent.

List analysis sets

Lists all analysis sets available in your instance. This helps you see the full scope of your quality data.

Get analysis set details

Retrieves specific metadata for a chosen analysis set. Use this to understand the underlying configuration of your data.

List results

Lists quality results with support for various filters. This lets you quickly find specific records based on date or status.

Get result details

Fetches the complete details for a single quality result. It provides a deep dive into specific test entries.

Store results

Creates new quality results or updates existing records. Use this to push new data into your system without manual entry.

List fields

Lists the dynamic fields associated with your data model. This helps you understand what data points are available for capture.

List choice lists

Retrieves all available selection menus and choice lists. This lets you see the valid options for dropdowns and menus.

Get result attachments

Lists all document attachments for a specific result. Use this to find linked PDFs or images quickly.

List active webhooks

Lists all active webhooks and quality event triggers. This ensures your automated alerts are still operational.

Get api info

Checks the current status and health of your API connection. Use this to verify that your integration is active.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

AlisQI QMS Audit Automation

Quality managers and lab technicians who are tired of manual data entry and hunting through complex QMS dashboards to find non-conformity trends.

Quality Manager

Audits non-conformity trends and summarizes quality results for weekly reports.

Laboratory Technician

Looks up analysis requirements and enters new quality data via voice or text.

Operations Lead

Verifies QMS data integrity and audits metadata definitions during audits.

Data Engineer

Traces quality data flows and inspects API responses to ensure system health.

Frequently Asked Questions

How does AlisQI MCP help with quality audits? +

It allows your AI agent to quickly pull and summarize quality results, audit trends, and check analysis set metadata, making it much faster to prepare reports.

Can I use AlisQI MCP to enter new lab data? +

Yes, you can tell your agent to create or update quality results, and it will handle the data entry into your QMS for you.

How do I check my QMS webhooks? +

You can ask your agent to list your active webhooks to ensure your automated triggers for things like non-conformities are still running.

Can AlisQI MCP see my document attachments? +

Yes, the agent can list all document attachments linked to specific results, so you can find PDFs or images without manual searching.

Is AlisQI MCP good for data engineers? +

It's great for checking API status, inspecting dynamic fields, and tracing how quality data flows through your system via conversation.

How do I find the metadata for my analysis sets? +

You can simply ask your agent to get the details for a specific analysis set, and it will retrieve the technical metadata for you.

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.

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