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CSV Analyzer MCP Server

@juanmaalt

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

juanmaalt

关于 CSV Analyzer MCP Server

暂无概览

#csv-analyzer#data-analysis#language-models

CSV Analyzer MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

CSV Analyzer 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 CSV Analyzer MCP Server?

CSV Analyzer MCP Server is a lightweight, modular tool that analyzes CSV datasets and produces structured summaries for consumption by language models like ChatGPT or Claude. It is designed for developers who need to prepare CSV data for LLM processing.

How to use CSV Analyzer MCP Server?

Clone the repository, install dependencies with uv pip install -r requirements.txt, then invoke the analyze_csv function with parameters: csv_content (raw CSV string), delimiter (default ,), remove_duplicates (default True), remove_non_valid_data (default True), and output_format (json or markdown, default json).

Key features of CSV Analyzer MCP Server

  • Processes raw CSV content as a string.
  • Removes duplicate rows and rows with missing values.
  • Returns results in JSON or Markdown format.
  • Supports customizable CSV delimiters.
  • Lightweight and easy to integrate.

Use cases of CSV Analyzer MCP Server

  • Preprocessing CSV data before feeding it to an LLM.
  • Cleaning datasets by removing duplicates and incomplete rows.
  • Converting CSV summaries into structured JSON for downstream tools.
  • Preparing CSV content in Markdown for human-readable LLM prompts.

常见问题

1

What dependencies are required?

You need Python and `uv` (or `pip`) to install the dependencies listed in `requirements.txt`. The server itself is written in Python.

2

How do I clean the CSV data?

Set `remove_duplicates=True` to drop duplicate rows, and `remove_non_valid_data=True` to drop rows with missing values. Both are `True` by default.

3

What output formats are supported?

The tool returns results in JSON (default) or Markdown, controlled by the `output_format` parameter.

4

Can I use a different delimiter?

Yes, pass the desired delimiter as the `delimiter` parameter; the default is a comma (`,`).

5

How is the CSV data provided to the server?

Data is passed as a raw string via the `csv_content` parameter – no file path or upload is used.

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