GetQueryly — AI Data Analyst
Upload spreadsheets, get plain-English analysis with real computed charts and quality scores.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http getqueryly-ai-data-analyst 'https://getqueryly.com/mcp/mcp' --header 'X-API-Key: <GetQueryly API key (free tier: 10 Makes/day)>'{
"mcpServers": {
"getqueryly-ai-data-analyst": {
"type": "http",
"url": "https://getqueryly.com/mcp/mcp",
"headers": {
"X-API-Key": "<GetQueryly API key (free tier: 10 Makes/day)>"
}
}
}
}Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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):
{
"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
| Tool | What it does |
|---|---|
analyze_file | One call deep analysis: upload → quality score → insights → chart → plain-English answer |
ds_upload | Upload CSV/Excel/JSON/PDF/SPSS/image, get a session id |
ds_query | Ask anything about your data — AI writes and runs real code |
ds_health_check | Honest 0-100 data quality score with exact issues |
ds_insights | Auto-surface patterns, anomalies, correlations |
ds_swarm | Multiple AI analyst personas analyze independently, then reach consensus |
chart | Bar, line, scatter, heatmap, box plot, treemap — any chart |
smart_test | AI picks the right statistical test and runs it |
ds_report | Generate a shareable PDF report |
ds_dashboard | Auto-build an executive dashboard (KPIs, charts) |
ds_graph | Knowledge-graph (GraphRAG) over your dataset |
kaggle_search / kaggle_load / kaggle_analyze | Search 200K+ Kaggle datasets and analyze them in place |
generate_diagram / create_infographic / create_comparison | Visual explainers from descriptions |
get_usage / get_costs | Free 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
- Web app: https://getqueryly.com
- API docs: https://getqueryly.com/api-docs
- llms.txt (for AI crawlers): https://getqueryly.com/llms.txt
- Keys: https://getqueryly.com/keys
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
Frequently asked questions
What is GetQueryly — AI Data Analyst?
Upload spreadsheets, get plain-English analysis with real computed charts and quality scores.
How do I install GetQueryly — AI Data Analyst?
It runs as a remote server. In Claude Code: claude mcp add --transport http getqueryly-ai-data-analyst 'https://getqueryly.com/mcp/mcp' --header 'X-API-Key: <GetQueryly API key (free tier: 10 Makes/day)>'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does GetQueryly — AI Data Analyst need an API key?
Yes. It expects X-API-Key, which you set in its configuration.
Is GetQueryly — AI Data Analyst open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains GetQueryly — AI Data Analyst?
It is published by thesinbin12-jpg. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.