Thematic MCP: Analysis feature group

The Analysis feature group lets an AI assistant explore your feedback through the Thematic MCP Server: themes, scores, comments and trends. Once connected, you can ask questions like "What are the top themes in our NPS survey?" or "Compare this quarter to last quarter" and the assistant will query Thematic on your behalf.

Analysis is read-only. It analyzes your data but never changes it.

Turning Analysis on

Analysis is available whenever your organization allows MCP access, which it does by default. An administrator can turn MCP access off for the whole organization under Manage workspace > MCP access. See Thematic MCP Server for how organization and personal settings work together.

Narrowing results

Most Analysis tools can be narrowed to the part of your feedback you care about. Ask in plain language and the assistant applies these for you:

  • Date range, such as "last quarter" or "since March"
  • Filters on your data, such as Region or Plan
  • Text search for comments containing a word or phrase
  • Sentiment: positive, neutral or negative
  • Category: issues, requests or questions
  • Themes, to look only at comments tagged with particular themes
  • Score, such as NPS, CSAT or Revenue at Risk

Available tools

You don't need to call these directly. Ask for what you want in conversation and the assistant will choose the right tools. The list is here so you know what is possible.

Understand a survey or lens

Tool What it gives you
list_sources_in_org The surveys and lenses available in your current organization.
get_source_info Details of a survey or lens: its scores, filters and date range.
list_filters_in_source The filters on a survey or lens and the values each one can take.
search_filter_values Finds a filter value by searching across filter names and values, for when you know the value but not which filter holds it.
list_themes_in_source The theme structure: every theme and its sub-themes.

Comments

Tool What it gives you
get_comments Individual feedback comments, narrowed to the feedback you are interested in.

Themes

Tool What it gives you
get_themes The themes in your feedback with their volume, sentiment and effect on your score. The main analysis tool.
get_themes_by_date How themes trend over time.
get_themes_by_dimension Theme volume broken out by every value of one filter, such as each region side by side.
get_theme_insights AI-generated insights on a theme or a free-text topic, grounded in the comments behind it.

Scores and counts

Tool What it gives you
get_score The overall score for the feedback you have narrowed to.
get_score_by_date The score over time, period by period.
get_scores_by_dimension The score broken out by every value of one filter.
get_changes_between_periods Compares two periods and shows what caused the score to change, by theme or by the values of a filter.
get_row_count The number of responses matching your filters.

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