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Query and analyze customer support data with filtering, counting, and summaries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Customer Service Data Analyst MCP Server" yet — see the docs or source repo.
Analyze the customer support dataset, list all intents, count records for each intent, sort them from highest to lowest, and provide brief observations for the top five.
Returns an intent list, ranked counts for each intent, and brief insights on the top five intents.
Filter customer support records related to refunds, count the total, and summarize the most common customer requests, sentiment trends, and possible improvement suggestions.
Outputs the number of refund-related records and a summary of common issues, customer sentiment, and improvement opportunities.
List all categories in the support dataset and their related intents, and identify which categories have the richest intent coverage and which have the fewest records.
Provides category-to-intent mappings and summarizes key findings about category distribution.
Run statistical analysis, probability calculations, and data processing through natural language.
Track, categorize, and analyze expenses with fast summaries and lookups.
Query customer, order, and revenue data safely with natural language.
Explore CSV datasets with summaries, cleaning, correlations, and statistical tests.
Query and semantically search bilingual support ticket data using natural language.
Load datasets, compute statistics, and create charts for data exploration.