PDF-Tools MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_pdf_from_htmlC | Generate a PDF from HTML content using Puppeteer |
| generate_pdf_from_textC | Generate a PDF from plain text using PDFKit |
| generate_pdf_from_markdownC | Generate a PDF from Markdown content |
| read_pdfB | Read a PDF file from disk and return its text content |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: three tools generate PDFs from different input formats (HTML, Markdown, text), and one tool reads PDFs. There is no overlap in functionality, making it easy for an agent to select the correct tool based on the input type or desired action.
All tool names follow a consistent verb_noun pattern with 'generate_pdf_from_' or 'read_pdf', using snake_case throughout. This predictability helps agents understand and use the tools efficiently without confusion from mixed conventions.
With 4 tools, the server is well-scoped for PDF processing, covering key operations: generation from multiple sources and reading. Each tool earns its place, providing a focused and manageable set that aligns with the server's purpose without being too sparse or overwhelming.
The tool set covers core PDF operations well, including generation from common formats and reading. A minor gap exists in lacking tools for editing or manipulating existing PDFs (e.g., merge, split, annotate), but agents can still handle basic workflows effectively with the provided tools.