file-analyzer-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@file-analyzer-mcpWhat files are in the current folder?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
file-analyzer-mcp
A personal stdio MCP server that extracts only text/structure from PDF, DOCX, PPTX, SVG, and PNG files in a local folder. It does not summarize or interpret — reading the extracted results and summarizing them is the job of the host LLM (such as Claude Code) that calls this tool.
What it does / What it doesn't do
Does | Doesn't |
Extracts text/structure from documents under the specified root folder | Summarize or interpret (handled by the host LLM) |
Aggregates folder tree and file count/size by extension | Write, delete, or move files (read-only) |
Extracts OCR text from PNGs | Understand the visual meaning of images (figures, charts) |
Handles timeouts for large/corrupted files | Change the analysis target folder while the server is running |
Related MCP server: Docalyze
Example run
> read_document("quarterly-report.pdf")
{
"type": "pdf",
"num_pages": 12,
"text": "Q3 Revenue Summary\n..."
}
> read_document("../../etc/passwd")
{ "error": "'../../etc/passwd' resolves outside the allowed root folder" }Quick start
git clone https://github.com/asuramama-hue/fileanalyzer_mcp_testmonial.git
cd fileanalyzer_mcp_testmonial
python3 -m venv .venv && source .venv/bin/activate
pip install -e .
brew install tesseract # PNG OCR용 (한국어는 brew install tesseract-lang 추가)Register with Claude Code:
claude mcp add file-analyzer --env FILE_ANALYZER_ROOT=/분석할/폴더 -- \
"$(pwd)/.venv/bin/python" "$(pwd)/server.py"
claude mcp list # ✔ Connected 확인After registration, in a new session, ask "summarize the documents in this folder" and Claude will call the 3 tools below directly.
Tools
Tool | Description |
| Folder tree, file count/size by extension |
| Text/structure extraction — |
| Size, modification time, page/slide count, image resolution, etc. |
Project structure
server.py # FastMCP 앱 진입점, 툴 등록, 루트 폴더 검증
file_analyzer/
security.py # 경로 격리(resolve_safe_path), 크기 제한
timeout.py # 추출 작업 하드 타임아웃
audit.py # 로컬 감사 로그(logs/audit.jsonl)
tree.py, metadata.py # list_directory / get_file_metadata 로직
extractors/ # pdf · docx · pptx · svg · image(OCR) 추출기
tests/ # pytest 회귀 스위트
AGENTS.md # 호출 에이전트(Claude Code)를 위한 운영 지침Security & constraints
Item | Policy |
Path isolation | Only accessible under |
File size | Returns an error without reading if larger than 50MB |
Timeout | Aborts with an error if extraction/metadata parsing exceeds 30 seconds |
Supported extensions |
|
Image interpretation | Only OCR text is extracted; the visual meaning of figures/charts cannot be understood |
Analysis target folder | Fixed once at server startup; cannot be changed while running |
Observability — audit log
Every tool call is recorded locally, one line at a time, in logs/audit.jsonl (no external transmission).
{"timestamp": "2026-08-26T06:03:35Z", "tool": "read_document", "params": {"relative_path": "report.pdf"}, "status": "ok", "duration_ms": 251.3}To clear the log, delete logs/audit.jsonl.
Development
pip install -e ".[dev]"
pytest -qtests/ covers path escape and absolute path injection blocking, the 5 extractors, timeouts, audit logging, and server integration. At this project's scale, I judged that local pytest runs alone are sufficient for regression validation without a CI pipeline, and have kept it that way.
Why I designed it this way
No summarization feature — To work without a separate LLM API key, I chose a minimal structure where the server handles extraction and the host handles summarization.
PNG uses OCR, not vision passthrough — Instead of passing the image to the host as base64, I extract only text to reduce response size and implementation complexity (the visual meaning of figures is not visible).
Local pytest only, no git/CI — For a single-person local tool of this scale, CI infrastructure seemed excessive.
Known limitations
The timeout is thread-based, so the background thread of an exceeded call may keep running to completion even after the response is returned.
.pptis not supported — convert to.pptxbefore use.
License
A personal project with no separate license file.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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