GetQueryly — AI Data Analyst

io.github.thesinbin12-jpgPublished by GitHub account thesinbin12-jpgv1.0.0Updated Nov 2, 2026

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

VerifiedStreamable HTTPWeb executableData & AnalyticsMedia & DesignAI & ML

Overview

AI-generated overview

Hosted GetQueryly server that lets an assistant upload spreadsheets and data files and get AI-run Python analysis, charts, reports and dashboards.

What you can do
  • Upload data files (CSV, Excel, JSON, PDF, SPSS, images) and start analysis sessions
  • Ask questions about uploaded data, run health checks, auto-insights, statistical tests and analyst-swarm consensus
  • Generate charts, diagrams, org charts, infographics and side-by-side comparisons
  • Produce PDF reports, executive dashboards, pricing-elasticity analysis and knowledge graphs over a dataset
  • Search, load and analyze Kaggle datasets
  • Chat with the GetQueryly AI and check Make balance and cost tables
When to use it
Useful when you want an assistant to analyze spreadsheets or datasets without writing code yourself, and to return computed charts, quality scores and shareable reports. Also fits quick exploratory work on public Kaggle datasets and one-call deep analysis of a single file.
Requirements
Remote streamable HTTP endpoint; no install. Requires a GetQueryly API key sent in the X-API-Key header (free tier: 10 Makes/day). Paid Make packs are available for heavier use.
Before you install
Every analysis is metered in Makes and several tools consume them (for example 2 to 8 per call), so usage can cost money beyond the free daily allowance. Uploaded files are sent to a third-party service for processing. The API key is a secret and should be kept out of shared configs.

Installation

In SourceWeft

  1. Open GetQueryly — AI Data Analyst in the dashboard and add it to a workspace.
  2. Connect X-API-Key credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.thesinbin12-jpg%2Fgetqueryly/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "getqueryly-ai-data-analyst": {
      "type": "http",
      "url": "https://getqueryly.com/mcp/mcp",
      "headers": {
        "X-API-Key": "<YOUR_API_KEY>"
      }
    }
  }
}

README

GetQueryly MCP Server

AI data analysis for your AI assistant. Connect Claude Desktop, Cursor, or any MCP client to GetQueryly and analyze spreadsheets in plain English — CSV, Excel, JSON, PDF, SPSS, images. The AI writes and runs real Python against your file, proves every number, and returns charts.

Hosted server — no install, no setup. Just point your client at the URL and add your API key.

Connect in 30 seconds

Claude Desktop / Cursor / any MCP client (streamable HTTP):

json
{  "mcpServers": {    "getqueryly": {      "url": "https://getqueryly.com/mcp/mcp",      "headers": { "X-API-Key": "YOUR_GETQUERYLY_API_KEY" }    }  }}

Get a free API key (10 free Makes/day): https://getqueryly.com/keys

What your assistant can do

ToolWhat it does
analyze_fileOne call deep analysis: upload → quality score → insights → chart → plain-English answer
ds_uploadUpload CSV/Excel/JSON/PDF/SPSS/image, get a session id
ds_queryAsk anything about your data — AI writes and runs real code
ds_health_checkHonest 0-100 data quality score with exact issues
ds_insightsAuto-surface patterns, anomalies, correlations
ds_swarmMultiple AI analyst personas analyze independently, then reach consensus
chartBar, line, scatter, heatmap, box plot, treemap — any chart
smart_testAI picks the right statistical test and runs it
ds_reportGenerate a shareable PDF report
ds_dashboardAuto-build an executive dashboard (KPIs, charts)
ds_graphKnowledge-graph (GraphRAG) over your dataset
kaggle_search / kaggle_load / kaggle_analyzeSearch 200K+ Kaggle datasets and analyze them in place
generate_diagram / create_infographic / create_comparisonVisual explainers from descriptions
get_usage / get_costsFree balance + pricing lookups

Pricing

Free: 10 Makes/day with an API key (no card). Paid packs (GHS): Starter 50 / Growth 200 / Pro 600 — never expire. Full table: https://getqueryly.com/pricing

Links

Notes

  • Transport: streamable HTTP (MCP 2025-03-26)
  • Your files are processed in-memory; sessions auto-expire
  • Every analysis is metered in "Makes" so costs are predictable

MIT licensed. Built by GetQueryly.

Official MCP Registry

Listed in the official registry: io.github.thesinbin12-jpg/getqueryly

Source: README.md at commit 6c85384

Tools

22

ai_chat

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

Parametersapi_keymessagerequired

ds_upload

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

Parametersapi_keyfile_pathrequired

ds_query

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

Parametersqueryrequiredapi_keysession_idrequired

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.

Parametersapi_keyquestionfile_pathrequired

ds_health_check

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

Parametersapi_keysession_idrequired

ds_insights

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

Parametersapi_keysession_idrequired

ds_swarm

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

Parametersdepthqueryrequiredapi_keysession_idrequired

ds_report

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

Parametersapi_keysession_idrequired

smart_test

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

Parametersqueryrequiredapi_keysession_idrequired

chart

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

Parametersqueryrequiredapi_keysession_idrequired

generate_diagram

Generate a diagram from description. Types: flowchart, org_chart, process, mindmap, tree. Palettes: blue, green, purple, dark, warm. Costs 1 Make.

Parametersapi_keypalettedescriptionrequireddiagram_type

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.

Parametersapi_keypalettenames_jsonrequired

create_infographic

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

Parametersthemetitlerequiredapi_keysubtitlebars_jsonstats_jsonprogress_json

create_comparison

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

Parametersthemetitlerequiredapi_keyleft_titleright_titleleft_items_jsonright_items_json

kaggle_load

Download a Kaggle dataset and create an analysis session. Returns session_id for queries. Free.

Parametersapi_keydataset_refrequired

kaggle_analyze

Search Kaggle, download dataset, and analyze it in one step. Costs 2 Makes for the query.

Parametersqueryrequiredapi_keydataset_refrequired

get_usage

Check your getqueryly Makes balance and usage. Free.

Parametersapi_keyrequired

get_costs

Get the Makes cost table for all operations. Free.

Takes no parameters.

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.

Parametersqueryactionapi_keysession_idrequired

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.

Parametersapi_keysession_idrequired

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.

Parametersapi_keysession_idrequired

Version history

1
  1. v1.0.0LatestOct 12, 2026

Score

100% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts