Upload spreadsheets, get plain-English analysis with real computed charts and quality scores.
Connect Remote server
claude mcp add --transport http getqueryly https://getqueryly.com/mcp/mcp --header "X-API-Key: <X_API_KEY>"
{
"mcpServers": {
"getqueryly": {
"url": "https://getqueryly.com/mcp/mcp",
"headers": {
"X-API-Key": "<X_API_KEY>"
}
}
}
}
{
"servers": {
"getqueryly": {
"type": "http",
"url": "https://getqueryly.com/mcp/mcp",
"headers": {
"X-API-Key": "<X_API_KEY>"
}
}
}
}
Settings > Connectors > Add custom connector
URL: https://getqueryly.com/mcp/mcp
Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools 22 found in our last check
ai_chatChat with getqueryly AI. Ask questions, generate content, search the web. Costs 1 Make.
ds_uploadUpload a data file for AI analysis. Supports CSV, Excel, JSON, PDF, images, SPSS, Parquet. Returns session_id. Free.
ds_queryAsk a question about uploaded data. AI writes and runs Python code. Returns analysis with charts. Costs 1 Make.
analyze_fileONE-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.
ds_health_checkRun a data health check. Detects missing values, outliers, type issues, duplicates. Costs 2 Makes.
ds_insightsGet automatic insights from data: patterns, anomalies, trends, correlations. Costs 3 Makes.
ds_swarmRun analyst swarm: multiple AI personas analyze your data independently, then synthesize consensus. Depth: quick (5 Makes) or full (8 Makes).
ds_reportGenerate a PDF report from data analysis. Includes charts, stats, insights. Costs 3 Makes.
smart_testAI picks the right statistical test for your data and runs it. Costs 1 Make.
chartGenerate a chart from data. Ask for any chart type: bar, line, scatter, heatmap, box plot, treemap, etc. Costs 2 Makes.
generate_diagramGenerate a diagram from description. Types: flowchart, org_chart, process, mindmap, tree. Palettes: blue, green, purple, dark, warm. Costs 1 Make.
generate_org_chartGenerate 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.
create_infographicCreate a professional infographic. stats_json/bars_json/progress_json: JSON arrays. Themes: corporate, vibrant, clean, nature, sunset. Costs 1 Make.
create_comparisonCreate a side-by-side comparison infographic. Costs 1 Make.
kaggle_searchSearch 200K+ Kaggle datasets by keyword. Returns dataset refs, titles, license info, download counts. Free.
kaggle_loadDownload a Kaggle dataset and create an analysis session. Returns session_id for queries. Free.
kaggle_analyzeSearch Kaggle, download dataset, and analyze it in one step. Costs 2 Makes for the query.
get_usageCheck your getqueryly Makes balance and usage. Free.
get_costsGet the Makes cost table for all operations. Free.
ds_graphBuild 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_elasticityPricing sensitivity: if the dataset has discount + margin columns, compute per-segment margin sensitivity to discount (slope, R-squared, confidence, recommendation). Costs 1 Make.
ds_dashboardAuto-generate a Power BI-grade executive dashboard (KPIs, charts, pricing elasticity, impact/effort matrix, takeaways) from the uploaded dataset. Costs 2 Makes.
Headers
| Name | Description |
|---|---|
X-API-KeyRequired, secret | GetQueryly API key (free tier: 10 Makes/day) |
Details
| Endpoint | https://getqueryly.com/mcp/mcp (Streamable HTTP) |
| First published | 12 Oct 2026 |
| Last updated | 12 Oct 2026 |
| Registry name | io.github.thesinbin12-jpg/getqueryly |
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Listing data from the official MCP registry. Status and tools from NestDaddy's daily check. Browse all MCP servers.
