MCP PDF Reader
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| read_pdfB | Extract all text content from a PDF file |
| get_pdf_metadataB | Extract metadata information from a PDF file (title, author, creation date, etc.) |
| read_pdf_pagesB | Extract text from specific pages or page range in a PDF |
| search_pdfB | Search for text in a PDF and return all matches with context |
| get_pdf_page_countC | Get the total number of pages in a PDF file |
| list_pdf_imagesA | List all images embedded in a PDF file with their metadata (page, dimensions, type) |
| extract_pdf_imageA | Extract a specific image from a PDF by its index (use list_pdf_images to get available indices) |
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 7 tools
Each tool targets a distinct aspect of PDF handling: reading text, reading specific pages, searching, metadata, page count, and image extraction. No two tools overlap in purpose, making selection unambiguous.
All tools follow a consistent verb_noun pattern in snake_case (e.g., read_pdf, search_pdf, list_pdf_images). Naming is predictable and clear.
With 7 tools covering the core operations of a PDF reader (read, search, metadata, images), the set is well-scoped. Each tool earns its place without redundancy or excess.
The tool surface covers all essential PDF reading operations: full text extraction, page-specific extraction, search, metadata retrieval, page count, and image handling. No critical gaps for the intended use case.