Manage recommendation systems
Inspect and manage your NeuronSearchLab recommendation workspace from your AI. Search catalogue items, understand rankings, configure contexts, pipelines, rules and segments, run experiments and model training, and review performance analytics.
What you can ask Review my recommendation contexts and active pipelines, and flag any configuration gaps. Copy
Example path list_contexts → get_context · NeuronSearchLab skill
Search my catalogue for an item and explain how it ranks for a user in the relevant context. Summarize my latest recommendation metrics and experiment results, then suggest practical next steps. MCP connector Server URL https://console.neuronsearchlab.com/api/mcpCopy Login OAuth Tools Reads data27 compare_ itemsexplain_ rankingget_ account_ planget_ contextget_ experimentget_ experiment_ resultsget_ item_ analyticsget_ onboarding_ statusget_ pipelineget_ ranking_ metricsget_ ruleget_ segmentget_ training_ jobget_ user_ analyticslist_ api_ keyslist_ contextslist_ event_ typeslist_ experimentslist_ integrationslist_ pipelineslist_ ruleslist_ segmentslist_ training_ jobsrender_ demo_ recommendationssearch_ itemsstart_ using_ my_ datatop_ items
Changes data18 activate_ pipelineclone_ pipelinecreate_ contextcreate_ event_ typecreate_ experimentcreate_ pipelinecreate_ rulecreate_ segmentdeactivate_ pipelinedisable_ ruleenable_ ruleget_ auto_ recommendationsget_ demo_ recommendationsget_ recommendationsrecord_ demo_ interactionrefresh_ experiment_ resultstoggle_ ruletry_ demo
Deletes or can't be undone16 cancel_ training_ jobcreate_ training_ jobdelete_ contextdelete_ event_ typedelete_ pipelinedelete_ ruledelete_ segmentrevoke_ api_ keystart_ experimentstop_ experimentupdate_ contextupdate_ event_ typeupdate_ experimentupdate_ pipelineupdate_ ruleupdate_ segment
Skills 1 in the ChatGPT listing
NeuronSearchLab Manage and analyze an authenticated NeuronSearchLab customer workspace through the hosted NSL MCP.