bots.st/getqueryly-ai-data-analyst
GetQueryly — AI Data Analyst
Analyze uploaded spreadsheets into charted insights
3122 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 22
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://getqueryly.com/mcp/mcpNeeds header X-API-Key
What it can do
| Tool | What it says it does |
|---|---|
ai_chat | Chat with getqueryly AI. Ask questions, generate content, search the web. 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 question: full analysis (2 Makes). With a question: answers just that question (1 Make). Returns structured JSON. |
chart | Generate a chart from data. Ask for any chart type: bar, line, scatter, heatmap, box plot, treemap, etc. Costs 2 Makes. |
create_comparison | Create a side-by-side comparison infographic. Costs 1 Make. |
create_infographic | Create a professional infographic. stats_json/bars_json/progress_json: JSON arrays. Themes: corporate, vibrant, clean, nature, sunset. Costs 1 Make. |
ds_dashboard | Auto-generate a Power BI-grade executive dashboard (KPIs, charts, pricing elasticity, impact/effort matrix, takeaways) from the uploaded dataset. Costs 2 Makes. |
ds_elasticity | Pricing sensitivity: if the dataset has discount + margin columns, compute per-segment margin sensitivity to discount (slope, R-squared, confidence, recommendation). Costs 1 Make. |
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' answers a question over the graph (e.g. 'which products share the most suppliers?'). Costs 1 Make. |
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_query | Ask a question about uploaded data. AI writes and runs Python code. Returns analysis with charts. Costs 1 Make. |
ds_report | Generate a PDF report from data analysis. Includes charts, stats, insights. 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_upload | Upload a data file for AI analysis. Supports CSV, Excel, JSON, PDF, images, SPSS, Parquet. Returns session_id. Free. |
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 John"]]. Costs 2 Makes. |
get_costs | Get the Makes cost table for all operations. Free. |
get_usage | Check your getqueryly Makes balance and usage. Free. |
kaggle_analyze | Search Kaggle, download dataset, and analyze it in one step. Costs 2 Makes for the query. |
kaggle_load | Download a Kaggle dataset and create an analysis session. Returns session_id for queries. Free. |
kaggle_search | Search 200K+ Kaggle datasets by keyword. Returns dataset refs, titles, license info, download counts. Free. |
smart_test | AI picks the right statistical test for your data and runs it. Costs 1 Make. |
In its maker's words
Upload spreadsheets, get plain-English analysis with real computed charts and quality scores.
- Website
- getqueryly.com
- Source
- github.com/thesinbin12-jpg/getqueryly-mcp
- Publisher
- thesinbin12-jpg
- Listed from
- the official MCP Registry as
io.github.thesinbin12-jpg/getqueryly - Version
- 1.0.0, updated 12 Oct 2026
- Kinds of work
- Documents and files, Data and databases, AI models and agent tools
The domain it lives on
- getqueryly.com
- registered 2 Aug 2026 (3 months ago), at Cloudflare, Inc., its home page is a working site
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 3122 ms | |
| Answered | 2884 ms | |
| Answered | 1315 ms |
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