File Analysis MCP Server

@huangyz0918

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About File Analysis MCP Server

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#file-analysis #data-analysis #visualization

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Overview

What is File Analysis MCP Server?

A Model Context Protocol server providing tools for reading and writing files, analyzing data (especially CSV files), generating visualizations, and extracting PDF text, accessible to any MCP client like Claude Desktop.

How to use File Analysis MCP Server?

Install dependencies with pip install "mcp[cli]" pandas numpy matplotlib PyPDF2, optionally set the MCP_FILE_ROOTS environment variable to customize safe directories, then run mcp install file_analysis_server.py to register with Claude Desktop. After installation, ask Claude natural-language questions to read, analyze, or visualize files.

Key features of File Analysis MCP Server

Read and write text files securely within authorized directories
List files in directories matching patterns and get detailed file info
Extract text content from PDF files, including specific pages
Read and sample CSV files with detailed statistical analysis
Visualize data with bar, line, scatter, histogram, and boxplot charts
Built-in prompts for EDA, data cleaning, and summary reports

Use cases of File Analysis MCP Server

Ask Claude to read, analyze, or summarize files in your Documents or Downloads folder
Analyze CSV sales data and create charts of revenue or profit over time
Extract text from specific pages of a PDF document
Run a guided exploratory data analysis on a dataset using built-in prompts
Generate an executive summary report from a CSV file for stakeholders

FAQ from File Analysis MCP Server

What dependencies does the server require?

Python 3.10 or higher and the packages mcp[cli], pandas, numpy, matplotlib, and PyPDF2.

Which directories can the server access by default?

It defaults to ~/Documents and ~/Downloads, configurable via the MCP_FILE_ROOTS environment variable (colon-separated paths).

How do I test the server during development?

Run mcp dev file_analysis_server.py to start the server with the MCP Inspector interface for interactive testing.

What file types are supported?

Text files, CSV files, and PDF files (for text extraction) are explicitly supported.

Does the server enforce any security restrictions?

Yes, it enforces strict path validation so only files within the authorized MCP_FILE_ROOTS directories can be accessed.

Frequently asked questions

What dependencies does the server require?

Python 3.10 or higher and the packages `mcp[cli]`, `pandas`, `numpy`, `matplotlib`, and `PyPDF2`.

Which directories can the server access by default?

It defaults to `~/Documents` and `~/Downloads`, configurable via the `MCP_FILE_ROOTS` environment variable (colon-separated paths).

How do I test the server during development?

Run `mcp dev file_analysis_server.py` to start the server with the MCP Inspector interface for interactive testing.

What file types are supported?

Text files, CSV files, and PDF files (for text extraction) are explicitly supported.

Does the server enforce any security restrictions?

Yes, it enforces strict path validation so only files within the authorized `MCP_FILE_ROOTS` directories can be accessed.

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