GetQueryly — AI Data Analyst MCP Server

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answering

GetQueryly — AI Data Analyst is answering right now. Last checked 1 min ago. It exposes 22 tools. Last commit 12 Oct 2026.

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

Uptime history 14 days of history

14 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

135 ms

Response time

average over 24h

Stars

last commit 12 Oct 2026

Nothing serious here today

Today is the operative word: we check GetQueryly — AI Data Analyst every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

Settings → Connectors → Add custom connector, then paste this address

https://getqueryly.com/mcp/mcp

~/.codex/config.toml

[mcp_servers.getqueryly]
url = "https://getqueryly.com/mcp/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

{
  "servers": {
    "getqueryly": {
      "type": "http",
      "url": "https://getqueryly.com/mcp/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.

Available tools 22

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

kaggle

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.

generate

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.

analyze

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

chart

Generate a chart from data. Ask for any chart type: bar, line, scatter, heatmap, box plot, treemap, etc. Costs 2 Makes.

chat

ai_chat

Chat with getqueryly AI. Ask questions, generate content, search the web. Costs 1 Make.

comparison

create_comparison

Create a side-by-side comparison infographic. Costs 1 Make.

costs

get_costs

Get the Makes cost table for all operations. Free.

dashboard

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_query

Ask a question about uploaded data. AI writes and runs Python code. Returns analysis with charts. Costs 1 Make.

elasticity

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.

graph

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.

health

ds_health_check

Run a data health check. Detects missing values, outliers, type issues, duplicates. Costs 2 Makes.

infographic

create_infographic

Create a professional infographic. stats_json/bars_json/progress_json: JSON arrays. Themes: corporate, vibrant, clean, nature, sunset. Costs 1 Make.

insights

ds_insights

Get automatic insights from data: patterns, anomalies, trends, correlations. Costs 3 Makes.

report

ds_report

Generate a PDF report from data analysis. Includes charts, stats, insights. Costs 3 Makes.

smart

smart_test

AI picks the right statistical test for your data and runs it. Costs 1 Make.

swarm

ds_swarm

Run analyst swarm: multiple AI personas analyze your data independently, then synthesize consensus. Depth: quick (5 Makes) or full (8 Makes).

upload

ds_upload

Upload a data file for AI analysis. Supports CSV, Excel, JSON, PDF, images, SPSS, Parquet. Returns session_id. Free.

usage

get_usage

Check your getqueryly Makes balance and usage. Free.

Endpoints

URL	Transport	State	Latency	Checked
https://getqueryly.com/mcp/mcp	streamable-http	needs auth	136 ms	1 min ago

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GetQueryly — AI Data Analyst — questions

Answers built from our own checks of this server.

What can GetQueryly — AI Data Analyst do?

It exposes 22 tools, read directly from the server on our last check. Among them: ai_chat, analyze_file, chart, create_comparison, create_infographic, ds_dashboard and 16 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is GetQueryly — AI Data Analyst mostly used for?

Its tools cluster around kaggle and generate. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is GetQueryly — AI Data Analyst working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 135 ms. The bar chart above shows every period we have measured.

How do I connect GetQueryly — AI Data Analyst?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You will need your own credentials: it refuses anonymous clients.

Does GetQueryly — AI Data Analyst need an API key?

Yes. Every time we knock, GetQueryly — AI Data Analyst answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.

How fast is GetQueryly — AI Data Analyst?

It answers our handshake in 135 ms on average, which is faster than 92% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is GetQueryly — AI Data Analyst open source?

The code is open source: it is published under the MIT licence and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at getqueryly.com, which runs on its operator's own terms.