What dependencies does the server require?
Python 3.10 or higher and the packages `mcp[cli]`, `pandas`, `numpy`, `matplotlib`, and `PyPDF2`.
File Analysis MCP Server
@huangyz0918
Basic information
About File Analysis MCP Server
No overview available yet
File Analysis MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryFile Analysis MCP Server tools
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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
Frequently asked questions
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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