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Analyze local CSV or Parquet datasets and generate insights without full uploads.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Analyst" yet — see the docs or source repo.
Please analyze my local file sales_2024.csv, summarize revenue, order count, and average order value by month, identify the fastest-growing and steepest-declining months, and provide 3 key findings.
Returns monthly metrics, highlights unusual months, and summarizes concise data insights.
Please read the local Parquet log file, calculate error rates and response time distributions by service, identify the service and time window with the highest error rate, and suggest troubleshooting steps.
Provides error-rate analysis by service, pinpoints abnormal time periods, and gives actionable troubleshooting suggestions.
Please analyze the local user behavior CSV, segment users by acquisition channel and activity frequency, compare 7-day and 30-day retention across groups, and explain which segment deserves the most operational focus.
Delivers user segments, retention comparisons, and recommendations on priority audience groups.
Load datasets, compute statistics, and create charts for data exploration.
Explore, analyze, and filter CSV data with schema and statistics tools.
Explore CSV datasets with summaries, cleaning, correlations, and statistical tests.
Import spreadsheets, run queries, and get instant data insights with AI.
Read, inspect, analyze vector geospatial data, and render interactive maps.
Run statistical analysis, probability calculations, and data processing through natural language.