An astronaut overseeing a futuristic data hub

Connect AlisQI to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Audit, track, and manage your entire quality data lifecycle.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through AlisQI.

  1. 01

    Get analysis set details

    Get set metadata

  2. 02

    List analysis sets

    List analysis sets

  3. 03

    List results

    Supports filtering. List quality results

  4. 04

    Store results

    Create or update results

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through AlisQI.

  1. 05

    List active webhooks

    List active triggers

  2. 06

    Get API info

    Check API status

  3. 07

    Get result attachments

    List document attachments

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through AlisQI.

  1. 08

    Get result details

    Get specific result

  2. 09

    List fields

    List dynamic fields

  3. 10

    List choice lists

    List selection menus

Real work

What teams actually run

01

Compliance Audit

A Quality Manager needs to verify that all recent non-conformities were logged. The agent checks the active webhooks and retrieves the latest results.

02

Data Model Review

A Data Engineer needs to understand how a new field impacts existing records. The agent lists the dynamic fields and the relevant analysis sets.

03

Daily Quality Check

A Lab Technician needs to check the status of a batch sample. The agent retrieves the specific result details and checks for attached documentation.

04

Process Improvement

An Operations Lead wants to see if a specific type of failure is trending. The agent lists and filters results across multiple analysis sets to identify patterns.

Automate a task

Put AlisQI to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

AlisQI works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put AlisQI to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

900ms average. Fast in production.

AlisQI is checked daily against the live service.

Daily averagePeak 1255ms
Oct 3Today
Fastest day
749ms
Slowest day
1255ms
14-day trend
Improving-11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AlisQI, so you can see the experience inside your AI.

It does not authenticate your account with AlisQI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AlisQI Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AlisQI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "alisqi-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up AlisQI in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AlisQI owners hand off.

This MCP is built for professionals who manage compliance and quality data. It lets you audit complex systems and track data integrity without needing to write API calls. You talk to your agent, and it handles the deep dive into your QMS data.

  • 01

    Quality Managers

    Automate result audits and monitor non-conformity trends by querying the system via chat.

  • 02

    Laboratory Technicians

    Quickly look up analysis requirements and log quality data using natural conversation.

  • 03

    Operations Leads

    Verify QMS data integrity and audit metadata definitions instantly without manual lookups.

  • 04

    Data Engineers

    Trace quality data flows and inspect dynamic API responses using simple, targeted commands.

FAQ

Questions AlisQI owners ask.

  • 01

    Does this MCP handle all types of quality data?

    Yes. It supports managing results, auditing analysis sets, and tracking technical metadata for fields and attachments. It covers the full spectrum of QMS data management.

  • 02

    Can I use this to log new quality results?

    You can. The MCP includes a capability to create or update results, allowing you to log new quality data directly through your chat interface.

  • 03

    Is this only for viewing data?

    No. Beyond viewing, you can also monitor workflow webhooks to ensure that critical quality event triggers are operational and sending data correctly.

  • 04

    What kind of data can I audit?

    You can audit the data model itself by listing analysis sets and fields, or you can audit specific results by retrieving their full details and associated documentation.

  • 05

    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.

  • 06

    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 capability to discover your unique structure.

  • 07

    Can I attach files to quality results via the agent?

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

Connect AlisQI to Claude, Cursor, ChatGPT & more