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., "@pdf-extract-mcp Extract the text from pages 1-5 of report.pdf"
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.
FastMCP server for PDF text extraction and metadata — part of the Palimpsest intelligence toolkit.
LLMs can't read PDFs natively. This server fills the gap — extract text from PDF documents, pull document metadata (title, author, producer, creation date), and extract specific page ranges. All results are returned as structured JSON for easy downstream processing.
Related MCP server: pdf-mcp
Pluggable PDF backends with graceful degradation:
base install (pip install pdf-extract-mcp) — pypdf-based text extraction and metadata (~5 MB)
The server tries backends in priority order: pypdf → none.
Tool | Description |
| Extract text from a PDF — all pages or a specific range (e.g. '1-5') |
| Full metadata: file info, SHA-256, PDF metadata, encryption status |
| Convenience wrapper for extracting specific page ranges |
git clone https://github.com/palimpsest-labs/pdf-extract-mcp
cd pdf-extract-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -e .from pdf_extract_mcp.server import extract_text, extract_metadata, extract_pages
# Get everything at once
result = extract_text("~/documents/report.pdf")
# Or separate calls
meta = extract_metadata("~/documents/report.pdf")
pages = extract_pages("~/documents/report.pdf", "1-3,5")Paths must be absolute and resolve to a location under the user's home directory. Path traversal (..) and paths starting with / are rejected. Symlinks are resolved before checking home-directory containment.
MIT
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
OCR.space MCP — wraps the OCR.space API (ocr.space) for image/PDF → text OCR.
MCP server for the FFmpeg Micro video transcoding API — create, monitor, download transcodes.
Turn any PDF into structured JSON via AI + OCR: invoices, bank statements, contracts.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/palimpsest-labs/pdf-extract-mcp'
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