# AlisQI MCP for AI Agents AI Agent Connect > AlisQI MCP connects your AI agent to your quality management system to handle results orchestration, schema discovery, and workflow monitoring. It lets you audit quality data, manage analysis sets, and track technical metadata through natural conversation. Use it to automate quality audits and monitor non-conformity triggers without switching between tabs. ## Overview - **Category:** erp-operations - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_jSaYgT7HiLXDb3OpF4Cg0GdQCGXEmN9qKuKIuftC/ai-agent-connect - **Tags:** quality-management, qms, manufacturing, data-auditing, workflow-automation, compliance ## Description Connect your AlisQI instance to your AI agent to handle 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. This is one of the many specialized connectors available in the Vinkius catalog, designed to bridge the gap between complex industrial data and everyday communication. It makes it easy to see what's happening in your production line in real-time and ensures your quality documentation is always up to date. You get a direct line to your quality operations, making it much faster to spot issues before they become costly problems. Instead of clicking through multiple menus or hunting for specific records in a dashboard, you can just describe what you need to find or update. Your agent handles the heavy lifting of navigating your data model, whether you're trying to understand your dynamic data structures or checking the status of your automated triggers. ## Tools ### 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_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. ### 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. ## Prompt Examples **Prompt:** ``` Show me the last 5 results for Raw Material Inspection. ``` **Response:** ``` I've retrieved the latest 5 entries for Raw Material Inspection. All results were within specification limits, except for entry #98765, which showed a minor deviation in moisture content. Would you like the full details for that entry? ``` **Prompt:** ``` Are there any webhooks active for non-conformities? ``` **Response:** ``` I've checked your integration settings. You have 1 active webhook (ID: wh_123) configured to trigger when a non-conformity is detected. It is currently sending data to your incident management system. There are no reported errors. ``` **Prompt:** ``` What are the fields for the Final Product Audit? ``` **Response:** ``` The Final Product Audit analysis set includes the following dynamic fields: * **Batch ID** * **Inspection Date** * **Moisture Level** * **Weight** * **Pass/Fail Status** * **Operator ID** ``` ## Capabilities ### Filter and list quality results Find specific quality records based on your custom criteria. ### Retrieve analysis set metadata Get the full technical details for your data configurations. ### Create and update quality records Push new data into your system or modify existing entries. ### Audit dynamic data fields See exactly what data points are available for your analysis sets. ### Monitor active webhook triggers Check if your automated quality alerts are still operational. ### Inspect document attachments Find and list all files linked to specific quality results. ## Use Cases ### Finding Deviations A technician asks for all results from last week with moisture deviations. The agent uses list_results to find them quickly. ### Audit Preparation A manager asks to list all active webhooks for non-conformities to ensure the system is reporting correctly. ### Data Entry An operator tells the agent to store a new result for batch #502 and the agent handles the record creation. ### Schema Discovery A data engineer asks what fields are in the Raw Material Inspection set and the agent uses list_fields. ## Benefits - Stop hunting for data by using list_results to filter specific quality records instantly. - Understand your data structure faster with list_fields and list_choice_lists to see all available options. - Keep your documentation organized by using get_result_attachments to find specific files. - Ensure your triggers are working by using list_active_webhooks to monitor non-conformity alerts. - Automate record updates by using store_results to push new data into your system without manual entry. - Audit your QMS integrity quickly by using get_analysis_set_details to verify metadata. ## How It Works The bottom line is you get a conversational way to manage and audit your entire quality management system. 1. Subscribe to the AlisQI MCP on Vinkius 2. Enter your AlisQI Instance URL and Bearer Token in your AI client 3. Ask your agent to pull quality reports or audit analysis sets ## 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.