io.github.thesinbin12-jpg/getqueryly

up checked 2026-11-11T09:38:28.269Z

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Publisher-provided title

GetQueryly — AI Data Analyst

Publisher-provided description

Upload spreadsheets, get plain-English analysis with real computed charts and quality scores.

Summary by lookupd

Upload datasets to get automated analysis, charts, health checks, dashboards, reports and Kaggle dataset analysis.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http getqueryly https://getqueryly.com/mcp/mcp

Codex, remote (streamable-http)

codex mcp add getqueryly --url https://getqueryly.com/mcp/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "getqueryly": {
      "url": "https://getqueryly.com/mcp/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (22 tools)

Publisher-provided text

• ai_chat Chat with getqueryly AI. Ask questions, generate content, search the web. Costs 1 Make.
• ds_upload Upload a data file for AI analysis. Supports CSV, Excel, JSON, PDF, images, SPSS, Parquet. Returns session_id. Free.
• ds_query Ask a question about uploaded data. AI writes and runs Python code. Returns analysis with charts. Costs 1 Make.
• analyze_file ONE-CALL deep analysis (v2): upload a file and get quality score, top insights, a summary and the headline chart — no session juggling. Without a questi
• ds_health_check Run a data health check. Detects missing values, outliers, type issues, duplicates. Costs 2 Makes.
• ds_insights Get automatic insights from data: patterns, anomalies, trends, correlations. Costs 3 Makes.
• ds_swarm Run analyst swarm: multiple AI personas analyze your data independently, then synthesize consensus. Depth: quick (5 Makes) or full (8 Makes).
• ds_report Generate a PDF report from data analysis. Includes charts, stats, insights. Costs 3 Makes.
• smart_test AI picks the right statistical test for your data and runs it. Costs 1 Make.
• chart Generate a chart from data. Ask for any chart type: bar, line, scatter, heatmap, box plot, treemap, etc. Costs 2 Makes.
• generate_diagram Generate a diagram from description. Types: flowchart, org_chart, process, mindmap, tree. Palettes: blue, green, purple, dark, warm. Costs 1 Make.
• generate_org_chart Generate an org chart. names_json: JSON array of [name, role, parent_name_or_null]. Example: [["CEO John", "CEO", null], ["VP Sarah", "VP Engineering", "CEO Joh
• create_infographic Create a professional infographic. stats_json/bars_json/progress_json: JSON arrays. Themes: corporate, vibrant, clean, nature, sunset. Costs 1 Make.
• create_comparison Create a side-by-side comparison infographic. Costs 1 Make.
• kaggle_search Search 200K+ Kaggle datasets by keyword. Returns dataset refs, titles, license info, download counts. Free.
• kaggle_load Download a Kaggle dataset and create an analysis session. Returns session_id for queries. Free.
• kaggle_analyze Search Kaggle, download dataset, and analyze it in one step. Costs 2 Makes for the query.
• get_usage Check your getqueryly Makes balance and usage. Free.
• get_costs Get the Makes cost table for all operations. Free.
• ds_graph Build or query a knowledge graph for an uploaded dataset (GraphRAG). action='build' turns the data into a graph and returns a summary. action='query' an
• ds_elasticity Pricing sensitivity: if the dataset has discount + margin columns, compute per-segment margin sensitivity to discount (slope, R-squared, confidence, recomme
• ds_dashboard Auto-generate a Power BI-grade executive dashboard (KPIs, charts, pricing elasticity, impact/effort matrix, takeaways) from the uploaded dataset. Costs 2 Ma

Details

• Version: 1.0.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 700 ms
• First indexed: 2026-11-01T09:57:54.314Z
• Last seen in registry: 2026-11-01T09:57:54.314Z
• Repository: https://github.com/thesinbin12-jpg/getqueryly-mcp
• Website: https://getqueryly.com

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