Scispot MCP for AI. Manage compliance and track every batch status.

When you hook up your AI agent to the Scispot MCP Server, it takes over managing your whole cannabis lab operation. You don't have to wrestle with complex LIMS dashboards; your agent handles everything from sample receipt through final regulatory reporting using nothing but natural conversation.

Tracking Samples and Clients. You can pull a directory of all clients, checking their license types, seeing their testing history, and reviewing what custom panel configurations they need. When samples come in, you get a full list of submitted cannabis samples; this shows the sample type, when it arrived, its chain of custody record, and its current testing status.

You can monitor client testing orders through list_orders, tracking them from initial submission right up to invoicing and seeing estimated completion dates. For the specific analytical methods run, you pull a catalog of available test panels—like potency or pesticides—reviewing their accreditation status and pricing tiers.

Managing Production Runs. You get a view of every production batch using list_batches, checking if they're pending or complete and linking them to specific samples. When high-throughput work happens, the agent tracks lab plates (96-well, 384-well) via list_plates, showing their status during whole batches of sample processing runs. You can review every executed analytical run on an instrument using list_runs, documenting quality control results and whether the overall disposition was accepted or rejected.

Reviewing Results and Compliance. You pull all detailed test findings for any sample via list_results. This data shows pass/fail determinations against state-specific regulatory limits, providing full chemical profiles. To confirm product compliance, you gather all issued Certificates of Analysis (CoA) using list_certificates; this includes potency data and the QR codes needed for consumer verification.

You can also check your test scope by reviewing available analytical methods for everything from heavy metals to mycotoxins.

Monitoring Equipment Health. The server lets you list lab instruments—like GC-MS or HPLC systems—showing their current calibration status and when they're scheduled for maintenance. You review standardized lab processes through list_workflows, mapping out steps like sample intake or CoA approval so you can find process bottlenecks. For deep dives into operational oversight, you pull a complete record of all audit logs using list_audit_logs; this tells you exactly who did what and when, which is mandatory for regulatory audits and data integrity checks.

Deep Dive Capabilities. You check the full status of batches via list_batches to see if they're cleared for distribution, and you can also view a detailed list of all available test panels using list_tests. You get a complete map of standardized lab processes with list_workflows, identifying exactly where samples move through intake or CoA approval.

Furthermore, the agent reviews every executed run on an instrument via list_runs to document quality control results and overall disposition (accepted or rejected).

Your AI client handles all this by reading real-time lab data, letting you manage everything from sample intake right up to final regulatory reporting without ever having to click through a confusing LIMS dashboard. You're running the whole show, not just glancing at reports.