GetQueryly — AI Data Analyst

io.github.thesinbin12-jpg由 GitHub 账号 thesinbin12-jpg 发布v1.0.0更新于 Nov 2, 2026

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

已验证Streamable HTTP可网页运行数据与分析媒体与设计AI 与机器学习

概览

AI 生成的概览

托管式 GetQueryly 服务器，让助手上传表格与数据文件，获得 AI 执行的 Python 分析、图表、报告和仪表板。

可以做什么
  • 上传数据文件（CSV、Excel、JSON、PDF、SPSS、图片）并创建分析会话
  • 针对已上传数据提问，并做数据健康检查、自动洞察、统计检验与多角色分析师共识分析
  • 生成图表、流程图、组织架构图、信息图与并排对比图
  • 产出 PDF 报告、高管仪表板、价格弹性分析与数据集知识图谱
  • 搜索、加载并分析 Kaggle 数据集
  • 与 GetQueryly AI 对话，并查询 Makes 余额与费用表
适用场景
适合希望助手代为分析表格或数据集、并返回实际计算出的图表、质量评分和可分享报告的场景。也适合对公开 Kaggle 数据集做快速探索，或对单个文件做一次调用的深度分析。
运行要求
远程 streamable HTTP 端点，无需安装。需要 GetQueryly API 密钥，通过 X-API-Key 请求头发送（免费额度：每天 10 个 Makes）。用量较大时可购买 Makes 套餐。
安装前请注意
所有分析按 Makes 计费，多个工具每次调用会消耗 2 至 8 个不等，超出免费额度会产生费用。上传的文件会发送到第三方服务处理。API 密钥属于机密，不应出现在共享配置中。

安装

在 SourceWeft 中

  1. 打开 控制台中的 GetQueryly — AI Data Analyst，将其添加到工作区。
  2. 连接 X-API-Key 凭据。它们会被私密存储，绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.thesinbin12-jpg%2Fgetqueryly/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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

来源：README.md，提交 6c85384

工具

22

ai_chat

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

输入参数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.

输入参数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.

输入参数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.

输入参数api_keyquestionfile_path必填

ds_health_check

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

输入参数api_keysession_id必填

ds_insights

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

输入参数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).

输入参数depthquery必填api_keysession_id必填

ds_report

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

输入参数api_keysession_id必填

smart_test

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

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数themetitle必填api_keysubtitlebars_jsonstats_jsonprogress_json

create_comparison

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

输入参数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.

输入参数api_keydataset_ref必填

kaggle_analyze

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

输入参数query必填api_keydataset_ref必填

get_usage

Check your getqueryly Makes balance and usage. Free.

输入参数api_key必填

get_costs

Get the Makes cost table for all operations. Free.

无需输入参数。

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.

输入参数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.

输入参数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.

输入参数api_keysession_id必填

版本历史

1
  1. v1.0.0最新Oct 12, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分