GetQueryly — AI Data Analyst

io.github.thesinbin12-jpg由 GitHub 帳號 thesinbin12-jpg 發布v1.0.0更新於 Nov 2, 2026

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

已驗證Streamable HTTP可網頁執行資料與分析媒體與設計AI 與機器學習

概覽

AI 產生的概覽

託管式 GetQueryly 伺服器，讓助理上傳試算表與資料檔案，取得由 AI 執行 Python 的分析、圖表、報告與儀表板。

可以做什麼
  • 上傳資料檔案（CSV、Excel、JSON、PDF、SPSS、圖片）並建立分析工作階段
  • 針對已上傳資料提問，並進行資料健康檢查、自動洞察、統計檢定與多角色分析師共識分析
  • 產生圖表、流程圖、組織架構圖、資訊圖表與並排比較圖
  • 產出 PDF 報告、高階主管儀表板、價格彈性分析與資料集知識圖譜
  • 搜尋、載入並分析 Kaggle 資料集
  • 與 GetQueryly AI 對話，並查詢 Makes 餘額與費用表
適用情境
適合希望由助理代為分析試算表或資料集，並回傳實際計算出的圖表、品質分數與可分享報告的情境。也適合對公開 Kaggle 資料集做快速探索，或對單一檔案做一次呼叫的深入分析。
執行需求
遠端 streamable HTTP 端點，無需安裝。需要 GetQueryly API 金鑰，透過 X-API-Key 標頭傳送（免費額度：每日 10 個 Makes）。用量較大時可購買 Makes 方案。
安裝前請注意
所有分析以 Makes 計費，多個工具每次呼叫會消耗 2 至 8 個不等，超出免費額度會產生費用。上傳的檔案會送到第三方服務處理。API 金鑰屬於機密，不應出現在共用設定中。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 GetQueryly — AI Data Analyst，將其新增到工作區。
  2. 連接 X-API-Key 憑證。它們會被私密儲存，絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.thesinbin12-jpg%2Fgetqueryly/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "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

來源：README.md，提交 6c85384

工具

22

ai_chat

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

輸入參數api_keymessage必填

ds_upload

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

輸入參數api_keyfile_path必填

ds_query

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

輸入參數query必填api_keysession_id必填

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.

輸入參數api_keyquestionfile_path必填

ds_health_check

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

輸入參數api_keysession_id必填

ds_insights

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

輸入參數api_keysession_id必填

ds_swarm

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

輸入參數depthquery必填api_keysession_id必填

ds_report

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

輸入參數api_keysession_id必填

smart_test

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

輸入參數query必填api_keysession_id必填

chart

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

輸入參數query必填api_keysession_id必填

generate_diagram

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

輸入參數api_keypalettedescription必填diagram_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.

輸入參數api_keypalettenames_json必填

create_infographic

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

輸入參數themetitle必填api_keysubtitlebars_jsonstats_jsonprogress_json

create_comparison

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

輸入參數themetitle必填api_keyleft_titleright_titleleft_items_jsonright_items_json

kaggle_load

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

輸入參數api_keydataset_ref必填

kaggle_analyze

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

輸入參數query必填api_keydataset_ref必填

get_usage

Check your getqueryly Makes balance and usage. Free.

輸入參數api_key必填

get_costs

Get the Makes cost table for all operations. Free.

無需輸入參數。

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.

輸入參數queryactionapi_keysession_id必填

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.

輸入參數api_keysession_id必填

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.

輸入參數api_keysession_id必填

版本歷史

1
  1. v1.0.0最新Oct 12, 2026

評分

已滿足適用檢查項的 100%

該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分