Skip to main content
Glama
Seonja-Lee

file-analysis-mcp

by Seonja-Lee

file-analysis-mcp

A personal MCP server that reads unstructured documents (PDF, PPTX, DOCX, SVG, PNG, and other images) in a specified folder and passes the raw text/images as-is so that the calling host (Claude Code, Codex CLI, etc.) can summarize the contents and analyze the folder structure.

This server does not perform summarization itself — it only extracts text and returns images as-is; the actual summarization is done by the LLM (Claude Code/Codex) that calls this tool. No separate API key is required.

Provided Tools

  • list_folder_structure(path, max_depth=5) Recursively explores the specified folder and returns the tree structure, file count by extension, and total size as JSON.

  • read_document(path, max_chars=20000, max_pages=30) Extracts content based on the file extension and returns it as text/images.

    • .pdf → per-page text

    • .pptx → per-slide text + notes

    • .docx → paragraph/heading/table text

    • .svg → raw XML + rasterized PNG image (when possible)

    • .png / .jpg / .jpeg / .bmp / .gif / .webp → image as-is (after resizing)

Related MCP server: File Context MCP Server

Installation

uv manages both the Python interpreter and dependencies.

cd file-analysis-mcp
uv sync

Local Testing (MCP Inspector)

npx @modelcontextprotocol/inspector uv run --directory . python server.py

In the Inspector UI that opens in your browser, you can directly call list_folder_structure and read_document. Sample PDF/PPTX/DOCX/SVG/PNG files are prepared in the test_samples/ folder, so you can test right away.

Registering with Claude Code

claude mcp add file-analysis -s user -- uv run --directory "C:\Users\20210\Desktop\testmcp\file-analysis-mcp" python server.py

It is already registered at the user scope with the command above and is available in all projects. New MCP servers are loaded at session start, so you must restart Claude Code (or start a new session) for the tools to appear. Check registration status: claude mcp list

Registering with Codex CLI

codex mcp add file-analysis -- uv run --directory "C:\Users\20210\Desktop\testmcp\file-analysis-mcp" python server.py

It is already registered globally. Check: codex mcp list

Usage Example (in a new session after registration)

"Analyze the structure of the C:\Users\me\Documents\reports folder and summarize the documents in it"

If you make a request like this, Claude Code/Codex will first understand the structure with list_folder_structure, then call read_document on the needed files to read the contents and summarize them directly.

Notes / Limitations

  • Since paths are passed as arguments on each call, there is no access folder restriction (allowlist). It is intended for personal use in a trusted local environment.

  • Text is limited by _chars and PDFs by _pages to prevent context overflow. If you need content, you can the values when the call.

  • SVG rasterization (svglib) not fully support some complex SVG features (filters some gradients, etc.). Even if it fails, the raw XML text is always returned.

F
license - not found
Not graded
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables Large Language Models to safely browse and interact with local file systems through secure directory listing, file reading, and content search capabilities. Built with comprehensive security controls and high-performance handling of large directories and files.
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to read, search, and analyze local file systems with tools for reading file contents, listing directories, searching by patterns, and analyzing folder structures for context-aware queries.
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to generate annotated file trees, retrieve file statistics, list git-changed files, and read file contents from local directories or GitHub repositories.
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Enables read-only analysis of local unstructured documents by scanning a folder, extracting text and structural metadata, and passing content with truncation and error-awareness to an LLM for summarization.
    9

View all related MCP servers

Related MCP Connectors

  • Securely search and manage workspace context files for AI agents and teams.

  • OCR, transcription, file extraction, and image generation for AI agents via MCP.

  • Search and reason over your Obsidian-style Markdown vault, right from ChatGPT.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Seonja-Lee/testmcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server