JXLS Excel Template Generator

JXLS Excel Template Generator

A Model Context Protocol (MCP) server that generates Excel templates conforming to JXLS specifications, supporting both JSON objects and arrays data formats.

Category
Visit Server

README

JXLS Excel模板生成MCP服务端

一个基于MCP(Model Context Protocol)协议的服务端,用于生成符合JXLS规范的Excel模板文件。

功能特性

  • 🎯 JXLS规范支持: 生成包含jx:area()jx:each()批注的Excel模板
  • 📊 多数据格式: 支持JSON对象和数组两种数据格式
  • 🔧 MCP协议: 完整的MCP协议实现,支持stdio通信模式
  • 参数验证: 严格的输入参数验证和错误处理
  • 🛡️ 安全性: 文件路径安全检查,防止路径遍历攻击
  • 📝 类型安全: 基于Pydantic的类型安全数据模型

快速开始

安装依赖

uv sync

基本使用

JSON格式示例

from jxls_mcp.models import GenerateTemplateRequest, DataStruct, DataField
from jxls_mcp.services import TemplateGenerator

# 创建数据结构
data_struct = DataStruct(
    collectName="employees",
    itemVariable="employee",
    dataFields=[
        DataField(name="姓名", field="name"),
        DataField(name="年龄", field="age"),
        DataField(name="部门", field="department")
    ]
)

# 创建请求
request = GenerateTemplateRequest(
    templateName="employee_report",
    dataStruct=data_struct,
    dataFormat="json"
)

# 生成模板
generator = TemplateGenerator()
response = generator.generate_template(request)

print(f"生成成功: {response.success}")
print(f"文件路径: {response.templatePath}")

数组格式示例

# 创建数组格式数据结构
data_struct = DataStruct(
    collectName="dataList",
    itemVariable="row",
    dataFields=[
        DataField(name="列1", index=0),
        DataField(name="列2", index=1),
        DataField(name="列3", index=2)
    ]
)

# 创建请求
request = GenerateTemplateRequest(
    templateName="data_export",
    dataStruct=data_struct,
    dataFormat="array"
)

# 生成模板
generator = TemplateGenerator()
response = generator.generate_template(request)

MCP服务器模式

启动MCP服务器:

uv run jxls-mcp-server

或者作为MCP工具调用:

{
  "name": "generateJxlsTemplate",
  "arguments": {
    "templateName": "sales_report",
    "dataStruct": {
      "collectName": "sales",
      "itemVariable": "sale",
      "dataFields": [
        {"name": "产品名称", "field": "product"},
        {"name": "销售额", "field": "amount"},
        {"name": "销售日期", "field": "date"}
      ]
    },
    "dataFormat": "json",
    "sampleData": [
      {"product": "产品A", "amount": 1000, "date": "2024-01-01"}
    ]
  }
}

数据结构定义

DataStruct参数

{
  "collectName": "data",
  "itemVariable": "item", 
  "dataFields": [
    {
      "name": "列标题",
      "field": "fieldName",
      "index": 0
    }
  ]
}

说明

  • collectName: 集合变量名称,用于JXLS批注中的items参数
  • itemVariable: 循环项变量名,用于JXLS批注中的var参数
  • dataFields: 字段定义数组
    • name: 列标题显示名称
    • field: JSON格式时的字段名(dataFormat="json"时必需)
    • index: 数组格式时的索引位置(dataFormat="array"时必需)

生成的Excel模板

JSON格式模板示例

A1: 姓名           B1: 年龄           C1: 城市
A2: ${item.name}   B2: ${item.age}    C2: ${item.city}

JXLS批注

  • A1单元格: jx:area(lastCell="C2")
  • A2单元格: jx:each(items="data" var="item" lastCell="C2")

数组格式模板示例

A1: 列1            B1: 列2            C1: 列3
A2: ${item[0]}     B2: ${item[1]}     C2: ${item[2]}

JXLS批注

  • A1单元格: jx:area(lastCell="C2")
  • A2单元格: jx:each(items="data" var="item" lastCell="C2")

API参考

generateJxlsTemplate工具

输入参数

参数名 类型 必需 描述
templateName string 模板文件名称
dataStruct object 数据结构定义
dataFormat string 数据格式类型 ("json" 或 "array")
sampleData array 示例数据(用于验证)
outputPath string 导出文件路径

outputPath 参数详解

outputPath 参数支持多种路径格式,系统会根据路径特征自动判断处理方式:

1. 相对路径支持

{
  "outputPath": "templates/my_template.xlsx"  // 使用指定文件名
}

2. 绝对路径支持

{
  "outputPath": "C:/Users/username/Documents/my_template.xlsx"  // 使用指定文件名
}

3. 目录路径(自动生成文件名)

{
  "outputPath": "C:/Users/username/Documents/templates"  // 自动生成: templateName_timestamp.xlsx
}

4. 自定义文件名

{
  "outputPath": "reports/sales_report"  // 自动添加.xlsx扩展名
}

路径处理规则

  • 如果路径不包含扩展名且不存在,则视为目录路径,使用 templateName_timestamp.xlsx 格式生成文件名
  • 如果路径包含文件名(有扩展名或存在同名文件),则直接使用该文件名
  • 如果文件名没有 .xlsx 扩展名,系统会自动添加
  • 系统会自动创建不存在的目录
  • 保持路径遍历攻击防护(不允许包含 ..

输出结果

{
  "success": true,
  "templatePath": "/path/to/generated/template.xlsx",
  "message": "JXLS模板生成成功",
  "jxlsAnnotations": {
    "area": "jx:area(lastCell=\"C2\")",
    "each": "jx:each(items=\"data\" var=\"item\" lastCell=\"C2\")"
  },
  "dataStruct": {
    "collectName": "data",
    "itemVariable": "item",
    "columnCount": 3,
    "lastCell": "C2"
  }
}

开发

运行测试

pytest

代码格式化

black src/ tests/
isort src/ tests/

类型检查

mypy src/

环境变量

  • JXLS_OUTPUT_DIR: 模板输出目录,默认为 ./templates

许可证

MIT License

贡献

欢迎提交Issue和Pull Request!

更新日志

v1.0.0

  • 初始版本发布
  • 支持JXLS规范的Excel模板生成
  • 完整的MCP协议实现
  • JSON和数组两种数据格式支持

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured