Wine Lab Analysis Scheduler

Wine Lab Analysis Scheduler MCP Connector for Claude

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Optimize laboratory workflows by scheduling critical wine analyses and identifying instrument bottlenecks.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server connects AI agents to wine laboratory management systems to optimize the scheduling of chemical and biological analyses. It manages the sample queue by prioritizing time-critical tests like get_priority_schedule for YAN (Yeast Assimilable Nitrogen) and VA (Volatile Acidity) to prevent spoilage. The server allows agents to get_daily_load to monitor workload, identify_bottlenecks to find instrument limitations, and validate_capacity_feasibility to ensure laboratory equipment can handle requested analysis volumes.

winelaboratoryschedulingoptimizationquality-control

4 tools expose this connector's capabilities to your AI agent.

get_daily_load

Determine the total workload planned for a specific day

get_priority_schedule

You can optionally filter by a specific sampleId. Retrieve a ranked list of analyses to be performed based on urgency and queue position

identify_bottlenecks

Locate the specific laboratory instrument limiting the processing speed

validate_capacity_feasibility

Check if the current analysis requests can be physically completed with existing equipment

See how to talk to your AI agent using Wine Lab Analysis Scheduler.

What is the total workload planned for tomorrow?

The total workload planned for tomorrow is 480 minutes, consisting of 12 scheduled analyses.

Show me the prioritized list of analyses for sample ID 9876.

The prioritized schedule for sample 9876 includes a YAN analysis with a priority score of 95, estimated to start at 08:00 AM.

Is it feasible to run these 5 pH tests and 2 VA tests today?

Yes, the requested analyses are feasible with the current instrument capacity.

The system uses `get_priority_schedule` to ensure that high-priority tests like Volatile Acidity (VA) are moved to the front of the queue to prevent spoilage.

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