Marketing mix modeling & ROI
MMM Labs connects to the MMM Labs marketing mix modeling platform. Use natural language to explore projects and datasets, search the Knowledge Center, check model readiness, run models (OLS, Robyn, PyMC, Meridian, and others per role), and analyze ROI, contributions, response curves, and scenarios. More
MCP connector Server URL https://mcp.mmmlabs.ai/mcpCopy Login OAuth Tools Reads data64 check_ entitlementscheck_ model_ feasibilitycheck_ model_ readinesscompare_ modelsconvert_ distributiondraft_ support_ ticketexplain_ model_ resultsexplore_ scenarioget_ actualsget_ cached_ results_ bundleget_ categorization_ statusget_ channel_ business_ priorsget_ column_ statisticsget_ configuration_ selectionsget_ configuration_ stalenessget_ contribution_ time_ seriesget_ contributionsget_ data_ previewget_ dataset_ refresh_ previewget_ decomposition_ settingsget_ decomposition_ time_ seriesget_ elasticityget_ model_ inputsget_ model_ metadataget_ model_ resultsget_ model_ statisticsget_ model_ statusget_ modeling_ unitsget_ output_ modeget_ parametersget_ pareto_ candidatesget_ predictionsget_ priors_ defaultsget_ projectget_ response_ curvesget_ roiget_ scatter_ dataget_ scenario_ resultsget_ spendsget_ support_ ticketget_ upload_ statusget_ user_ infoget_ variable_ reference_ statsget_ workspace_ contextlist_ accountslist_ cached_ results_ viewslist_ configurationslist_ control_ variableslist_ cross_ sectionslist_ datasetslist_ engineered_ variableslist_ model_ typeslist_ paid_ channelslist_ projectslist_ scenarioslist_ support_ ticketsquery_ fact_ tablereview_ categorizationsearch_ knowledge_ centersummarize_ tablevalidate_ business_ priorsvalidate_ categorizationvalidate_ priors_ family_ consistencywait_ for_ model_ completion
Changes data30 auto_ categorize_ dataclone_ configurationcreate_ config_ variantcreate_ configurationcreate_ datasetcreate_ projectcreate_ scenariogenerate_ engineered_ variablesgenerate_ model_ inputsinitialize_ configuration_ selectionspivot_ sheetrename_ datasetreparse_ sheetreply_ to_ support_ ticketrun_ column_ intelligencerun_ scenario_ optimizationsave_ configuration_ selectionsset_ channel_ business_ priorset_ cross_ section_ effectsset_ modeling_ approachset_ output_ modeset_ variable_ priorset_ variable_ priorsset_ workspace_ contextstart_ modelsubmit_ support_ ticketswitch_ active_ accountupdate_ variable_ categoryupload_ fileupload_ from_ url
Deletes or can't be undone4 build_ custom_ results_ viewclear_ channel_ business_ priorrefresh_ dataset_ filesupdate_ scenario_ constraints
Skills None in the store listings. The server needs sign-in, so we could not check it