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Chatexcel MCP Server

@Lillard01

基本情報

カテゴリ

その他

トランスポート

stdio

作者

Lillard01

投稿者

Lillard W

Chatexcel MCP Server について

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。

Chatexcel MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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 のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

1

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.

2

How many MCP tools are included?

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

3

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.

4

What security measures are in place?

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

5

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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