GetQueryly — AI Data Analyst
RemoteAbout GetQueryly — AI Data Analyst
GetQueryly is a hosted MCP server for analyzing spreadsheets and other data files through an AI assistant. It combines computed analysis, data-quality checks, insights, and visual outputs, with files processed in memory.
Key features
- 01Analyze CSV, Excel, JSON, PDF, SPSS, and images
- 02Run data queries using generated Python
- 03Score data quality and surface issues
- 04Find patterns, anomalies, and correlations
- 05Create charts, reports, and dashboards
- 06Search and analyze Kaggle datasets
Use cases
- 01Explore a spreadsheet with plain-English questions
- 02Check dataset quality before analysis
- 03Generate a chart or report from uploaded data
- 04Find and analyze a relevant Kaggle dataset
MCP support
Provides tools for file upload, analysis, queries, charts, reports, and related data tasks to MCP clients over streamable HTTP. Clients connect to its hosted endpoint with an API key.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://getqueryly.com/mcp/mcpclaude mcp add --transport http thesinbin12-jpg-getqueryly https://getqueryly.com/mcp/mcp{"mcpServers":{"thesinbin12-jpg-getqueryly":{"type":"http","url":"https://getqueryly.com/mcp/mcp"}}}Open in Cursor{"servers":{"thesinbin12-jpg-getqueryly":{"type":"http","url":"https://getqueryly.com/mcp/mcp"}}}Open in VS Code{"mcpServers":{"thesinbin12-jpg-getqueryly":{"type":"http","url":"https://getqueryly.com/mcp/mcp"}}}{"mcpServers":{"thesinbin12-jpg-getqueryly":{"serverUrl":"https://getqueryly.com/mcp/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://getqueryly.com/mcp/mcpAuth requiredTools
Details
From the project READMEGetQueryly 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
Comments
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