{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_rf268m4bsanq","handle":"mcp-data-analyzer-zsk","url":"https://wellknown.network/agents/mcp-data-analyzer-zsk","links":{"self":"https://wellknown.network/agents/mcp-data-analyzer-zsk/record.json","html":"https://wellknown.network/agents/mcp-data-analyzer-zsk","markdown":"https://wellknown.network/agents/mcp-data-analyzer-zsk/record.md","api":"https://wellknown.network/api/v1/agents/mcp-data-analyzer-zsk","status":"https://wellknown.network/api/v1/agents/mcp-data-analyzer-zsk/status","claim":"https://wellknown.network/agents/mcp-data-analyzer-zsk/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/mcp-data-analyzer-zsk/claim.json","badge":"https://wellknown.network/agents/mcp-data-analyzer-zsk/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/mcp-data-analyzer-zsk/history","tools":"https://wellknown.network/api/v1/agents/mcp-data-analyzer-zsk/tools"},"ard":{"identifier":"urn:air::server:mcp-data-analyzer-zsk","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"mcp-data-analyzer-zsk","summary":"一个好用的数据分析mcp工具","description":"# 🚀 MCP Data Analyzer ZSK\n\n<div align=\"center\">\n\n![Version](https://img.shields.io/badge/version-0.1.1-blue.svg)\n![Python](https://img.shields.io/badge/python-3.13+-green.svg)\n![License](https://img.shields.io/badge/license-MIT-yellow.svg)\n![Platform](https://img.shields.io/badge/platform-macOS%20%7C%20Windows%20%7C%20Linux-lightgrey.svg)\n![MCP](https://img.shields.io/badge/MCP-1.21.0+-red.svg)\n\n**一个基于 MCP (Model Context Protocol) 的强大数据分析与可视化工具**\n\n[功能特性](#-功能特性) • [快速开始](#-快速开始) • [工具使用](#-工具使用) • [可视化展示](#-可视化展示) • [贡献指南](#-贡献指南)\n\n</div>\n\n---\n\n## 📋 目录\n\n- [🌟 项目简介](#-项目简介)\n- [✨ 功能特性](#-功能特性)\n- [🚀 快速开始](#-快速开始)\n- [🛠️ 工具使用](#️-工具使用)\n- [📊 可视化展示](#-可视化展示)\n- [💡 使用场景](#-使用场景)\n- [📁 项目结构](#-项目结构)\n- [🔧 技术栈](#-技术栈)\n- [📝 更新日志](#-更新日志)\n- [🤝 贡献指南](#-贡献指南)\n- [📄 许可证](#-许可证)\n- [👤 作者](#-作者)\n\n---\n\n## 🌟 项目简介\n\n**MCP Data Analyzer ZSK** 是一个专为 AI 助手设计的数据分析与可视化工具，基于 [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) 构建。它能够快速处理 CSV、Excel 等格式的数据，生成专业的统计报告和多维度可视化图表。\n\n### 核心价值\n\n✨ **零门槛使用** - 简单配置即可在 MCP 客户端中使用\n📊 **多维分析** - 支持 1-2 维数据透视分析，自动生成多种图表\n🎨 **智能可视化** - 自动选择最佳图表类型，智能数字格式化\n🌏 **跨平台支持** - 自动适配不同操作系统的中文字体\n⚡ **高效处理** - 基于 pandas，毫秒级数据处理能力\n\n---\n\n## ✨ 功能特性\n\n### 🔍 数据概览分析 (`data_overview`)\n- ✅ 快速获取数据集基本信息（行数、列数）\n- ✅ 自动检测字段类型（数值、类别、日期等）\n- ✅ 统计缺失值情况\n- ✅ 展示前 5 行样本数据\n- ✅ JSON 格式输出，便于程序解析\n\n### 📈 数据汇总统计 (`data_summary`)\n- ✅ 数值列统计：均值、中位数、最大值、最小值、方差、标准差\n- ✅ 类别列统计：唯一值数量、最常见值\n- ✅ 缺失值详细分析\n- ✅ 中文描述，便于理解\n\n### 🎨 多维数据可视化 (`visualize_data`)\n- ✅ **单维度分析**（1个索引列）\n  - 📊 柱状图 - 直观显示数值分布\n  - 🥧 饼图 - 清晰展示占比关系\n- ✅ **双维度分析**（2个索引列）\n  - 🔥 热力图 - 快速识别数据模式\n  - 📚 堆叠柱状图 - 展示累计值和贡献比\n  - 📊 分组柱状图 - 并排对比不同类别\n- ✅ **多指标对比** - 同时分析多个数值列\n- ✅ **智能数字格式化** - 自动使用万、百万、亿等单位\n- ✅ **跨平台字体** - macOS/Windows/Linux 中文显示优化\n\n### 🧠 智能特性\n- 📐 支持多种聚合函数：`sum`、`mean`、`count`、`max`、`min`、`median`、`std`、`var`\n- 🔤 自动 Unicode 解码，支持中文列名\n- 💾 高分辨率图表输出（300 DPI）\n- 🎯 自动布局优化，图表更美观\n\n---\n\n## 🚀 快速开始\n\n### 系统要求\n\n- **Python**: 3.13 或更高版本\n- **操作系统**: macOS / Windows / Linux\n- **内存**: 建议 2GB 以上\n\n### 安装方式\n\n#### 方式一：从源码安装（推荐）\n\n`…","publisher":null,"homepage":null,"repository":null,"version":"0.1.1","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:mcp-data-analyzer-zsk","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"documents.spreadsheets","name":"Spreadsheets","confidence":0.733,"provenance":"derived"}],"categories":["documents"],"language":"zh"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"mcp-data-analyzer-zsk","registry":"pypi","observedAt":"2026-10-28T10:24:35.731Z","publishedAt":"2025-11-08T10:20:21.748201Z","latestVersion":"0.1.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"mcp-data-analyzer-zsk","url":"https://pypi.org/project/mcp-data-analyzer-zsk/","firstSeenAt":"2026-09-10T01:19:53.012Z","fetchedAt":"2026-10-28T10:23:58.534Z","normalizedAt":"2026-10-28T10:23:58.534Z"}]},"firstSeenAt":"2026-09-10T01:19:53.012Z","updatedAt":"2026-10-28T10:24:35.731Z"}