GetQueryly — AI Data Analyst
Upload spreadsheets, get plain-English analysis with real computed charts and quality scores.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"getqueryly": {
"url": "https://getqueryly.com/mcp/mcp"
}
}
}원격 엔드포인트
https://getqueryly.com/mcp/mcpstreamable-http할 수 있는 일
도구 목록
도구 (22)
🟢ai_chat(message, api_key)
Chat with getqueryly AI. Ask questions, generate content, search the web. Costs 1 Make.
입력 스키마
{
"type": "object",
"properties": {
"message": {
"title": "Message",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"message"
],
"title": "ai_chatArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ai_chatOutput"
}🟡ds_upload(file_path, api_key)
Upload a data file for AI analysis. Supports CSV, Excel, JSON, PDF, images, SPSS, Parquet. Returns session_id. Free.
입력 스키마
{
"type": "object",
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"file_path"
],
"title": "ds_uploadArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ds_uploadOutput"
}🟢ds_query(session_id, query, api_key)
Ask a question about uploaded data. AI writes and runs Python code. Returns analysis with charts. Costs 1 Make.
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"query": {
"title": "Query",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id",
"query"
],
"title": "ds_queryArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ds_queryOutput"
}🟡analyze_file(file_path, question, api_key)
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.
입력 스키마
{
"type": "object",
"properties": {
"file_path": {
"title": "File Path",
"type": "string"
},
"question": {
"default": "",
"title": "Question",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"file_path"
],
"title": "analyze_fileArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "analyze_fileOutput"
}🟢ds_health_check(session_id, api_key)
Run a data health check. Detects missing values, outliers, type issues, duplicates. Costs 2 Makes.
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id"
],
"title": "ds_health_checkArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ds_health_checkOutput"
}🟢ds_insights(session_id, api_key)
Get automatic insights from data: patterns, anomalies, trends, correlations. Costs 3 Makes.
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id"
],
"title": "ds_insightsArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ds_insightsOutput"
}🟢ds_swarm(session_id, query, depth, api_key)
Run analyst swarm: multiple AI personas analyze your data independently, then synthesize consensus. Depth: quick (5 Makes) or full (8 Makes).
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"query": {
"title": "Query",
"type": "string"
},
"depth": {
"default": "quick",
"title": "Depth",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id",
"query"
],
"title": "ds_swarmArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ds_swarmOutput"
}⚪ds_report(session_id, api_key)
Generate a PDF report from data analysis. Includes charts, stats, insights. Costs 3 Makes.
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id"
],
"title": "ds_reportArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ds_reportOutput"
}⚪smart_test(session_id, query, api_key)
AI picks the right statistical test for your data and runs it. Costs 1 Make.
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"query": {
"title": "Query",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id",
"query"
],
"title": "smart_testArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "smart_testOutput"
}⚪chart(session_id, query, api_key)
Generate a chart from data. Ask for any chart type: bar, line, scatter, heatmap, box plot, treemap, etc. Costs 2 Makes.
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"query": {
"title": "Query",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id",
"query"
],
"title": "chartArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "chartOutput"
}⚪generate_diagram(description, diagram_type, palette, api_key)
Generate a diagram from description. Types: flowchart, org_chart, process, mindmap, tree. Palettes: blue, green, purple, dark, warm. Costs 1 Make.
입력 스키마
{
"type": "object",
"properties": {
"description": {
"title": "Description",
"type": "string"
},
"diagram_type": {
"default": "flowchart",
"title": "Diagram Type",
"type": "string"
},
"palette": {
"default": "blue",
"title": "Palette",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"description"
],
"title": "generate_diagramArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "generate_diagramOutput"
}⚪generate_org_chart(names_json, palette, api_key)
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.
입력 스키마
{
"type": "object",
"properties": {
"names_json": {
"title": "Names Json",
"type": "string"
},
"palette": {
"default": "blue",
"title": "Palette",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"names_json"
],
"title": "generate_org_chartArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "generate_org_chartOutput"
}🟡create_infographic(title, subtitle, stats_json, bars_json, progress_json, ...)
Create a professional infographic. stats_json/bars_json/progress_json: JSON arrays. Themes: corporate, vibrant, clean, nature, sunset. Costs 1 Make.
입력 스키마
{
"type": "object",
"properties": {
"title": {
"title": "Title",
"type": "string"
},
"subtitle": {
"default": "",
"title": "Subtitle",
"type": "string"
},
"stats_json": {
"default": "[]",
"title": "Stats Json",
"type": "string"
},
"bars_json": {
"default": "[]",
"title": "Bars Json",
"type": "string"
},
"progress_json": {
"default": "[]",
"title": "Progress Json",
"type": "string"
},
"theme": {
"default": "corporate",
"title": "Theme",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"title"
],
"title": "create_infographicArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "create_infographicOutput"
}🟡create_comparison(title, left_title, right_title, left_items_json, right_items_json, ...)
Create a side-by-side comparison infographic. Costs 1 Make.
입력 스키마
{
"type": "object",
"properties": {
"title": {
"title": "Title",
"type": "string"
},
"left_title": {
"default": "Option A",
"title": "Left Title",
"type": "string"
},
"right_title": {
"default": "Option B",
"title": "Right Title",
"type": "string"
},
"left_items_json": {
"default": "[]",
"title": "Left Items Json",
"type": "string"
},
"right_items_json": {
"default": "[]",
"title": "Right Items Json",
"type": "string"
},
"theme": {
"default": "corporate",
"title": "Theme",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"title"
],
"title": "create_comparisonArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "create_comparisonOutput"
}🟢kaggle_search(query, page, api_key)
Search 200K+ Kaggle datasets by keyword. Returns dataset refs, titles, license info, download counts. Free.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"title": "Query",
"type": "string"
},
"page": {
"default": 1,
"title": "Page",
"type": "integer"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"query"
],
"title": "kaggle_searchArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "kaggle_searchOutput"
}🟡kaggle_load(dataset_ref, api_key)
Download a Kaggle dataset and create an analysis session. Returns session_id for queries. Free.
입력 스키마
{
"type": "object",
"properties": {
"dataset_ref": {
"title": "Dataset Ref",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"dataset_ref"
],
"title": "kaggle_loadArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "kaggle_loadOutput"
}🟢kaggle_analyze(dataset_ref, query, api_key)
Search Kaggle, download dataset, and analyze it in one step. Costs 2 Makes for the query.
입력 스키마
{
"type": "object",
"properties": {
"dataset_ref": {
"title": "Dataset Ref",
"type": "string"
},
"query": {
"title": "Query",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"dataset_ref",
"query"
],
"title": "kaggle_analyzeArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "kaggle_analyzeOutput"
}🟢get_usage(api_key)
Check your getqueryly Makes balance and usage. Free.
입력 스키마
{
"type": "object",
"properties": {
"api_key": {
"title": "Api Key",
"type": "string"
}
},
"required": [
"api_key"
],
"title": "get_usageArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "get_usageOutput"
}🟢get_costs
Get the Makes cost table for all operations. Free.
입력 스키마
{
"type": "object",
"properties": {},
"title": "get_costsArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "get_costsOutput"
}🟢ds_graph(session_id, action, query, api_key)
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.
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"action": {
"default": "build",
"title": "Action",
"type": "string"
},
"query": {
"default": "",
"title": "Query",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id"
],
"title": "ds_graphArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ds_graphOutput"
}🟢ds_elasticity(session_id, api_key)
Pricing sensitivity: if the dataset has discount + margin columns, compute per-segment margin sensitivity to discount (slope, R-squared, confidence, recommendation). Costs 1 Make.
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id"
],
"title": "ds_elasticityArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ds_elasticityOutput"
}⚪ds_dashboard(session_id, api_key)
Auto-generate a Power BI-grade executive dashboard (KPIs, charts, pricing elasticity, impact/effort matrix, takeaways) from the uploaded dataset. Costs 2 Makes.
입력 스키마
{
"type": "object",
"properties": {
"session_id": {
"title": "Session Id",
"type": "string"
},
"api_key": {
"default": "",
"title": "Api Key",
"type": "string"
}
},
"required": [
"session_id"
],
"title": "ds_dashboardArguments"
}출력 스키마
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "ds_dashboardOutput"
}커뮤니티
증거