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.
@Lillard01
Basic information
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。
Add this server to your MCP-compatible client using the configuration below.
{
"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"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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The server uses Python pandas for data processing and Go excelize for high‑performance Excel file operations, combining their strengths.
Twenty‑four professional tools are provided, covering data reading, processing, validation, visualization, and formula calculation.
Yes, it includes a complete Excel formula system based on the formulas library, capable of parsing, compiling, and executing formulas.
The server employs multi‑layer security, including a sandboxed code execution environment and formula security validation.
Yes, the server implements caching, concurrent processing, and memory optimization to improve throughput and reduce latency.
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