Chatexcel MCP Server

@Lillard01

代码仓库

基本信息

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其他

传输方式

stdio

作者

Lillard01

提交者

Lillard W

关于 Chatexcel MCP Server

chatExcel - 基于模型上下文协议（MCP）的Excel智能处理与数据分析服务器，专为Excel文件智能解析、数据处理、代码执行以及交互式图表生成而设计。支持复杂Excel格式处理、智能参数推荐、代码模板生成和高级数据可视化。

#excel #csv #xlsx#xls#json #html

Chatexcel MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "chatExcel": {
      "command": "/Path/mcp/chatExcel-mcp/venv/bin/python",
      "args": [
        "/Path/mcp/chatExcel-mcp/server.py"
      ],
      "env": {
        "PYTHONPATH": "/Path/mcp/chatExcel-mcp"
      },
      "description": "chatExcel MCP服务器 - 支持24个Excel智能处理与数据分析工具",
      "version": "1.4.0",
      "tools_count": 24,
      "supported_formats": [
        "xlsx",
        "xls",
        "csv",
        "json",
        "html"
      ]
    }
  }
}

Chatexcel MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Chatexcel Mcp?

Chatexcel Mcp is a Model Context Protocol (MCP) server specialized in Excel file processing, data analysis, and visualization. It integrates Python’s pandas and Go’s excelize libraries to provide a dual‑engine architecture, and includes a complete Excel formula engine. The server is intended for developers and data analysts who need programmatic Excel handling via MCP tools.

How to use Chatexcel Mcp?

—

Key features of Chatexcel Mcp

24 professional MCP tools covering reading, processing, validation, visualization, and formula calculation.
Dual‑engine architecture combining Python pandas and Go excelize.
Full Excel formula engine based on the formulas library.
Intelligent parameter recommendation by detecting Excel file structure.
Multi‑layer security with sandboxed code execution and formula validation.
Performance optimization using caching, concurrency, and memory management.
Health monitoring with logging, error tracking, and service monitoring.

Use cases of Chatexcel Mcp

Automating Excel data extraction and transformation in data pipelines.
Generating interactive charts and visualizations from Excel data.
Validating and cleaning large datasets stored in Excel files.
Executing complex Excel formulas programmatically without Excel.
Building MCP‑based AI assistants capable of handling spreadsheet tasks.

常见问题

What is the dual‑engine architecture?

The server uses Python pandas for data processing and Go excelize for high‑performance Excel file operations, combining their strengths.

How many MCP tools are included?

Twenty‑four professional tools are provided, covering data reading, processing, validation, visualization, and formula calculation.

Does it support Excel formula calculation?

Yes, it includes a complete Excel formula system based on the formulas library, capable of parsing, compiling, and executing formulas.

What security measures are in place?

The server employs multi‑layer security, including a sandboxed code execution environment and formula security validation.

Are there any performance optimizations?

Yes, the server implements caching, concurrent processing, and memory optimization to improve throughput and reduce latency.

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