PDF Reader 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 |
|---|---|
| extract_pdf_textC | Extract text content from PDF documents with optional metadata and formatting preservation |
| extract_pdf_metadataC | Extract metadata and document information from PDF files |
| extract_pdf_pagesC | Extract content from specific pages or page ranges of PDF documents |
| validate_pdfB | Validate PDF file integrity and readability |
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: metadata extraction, page extraction, text extraction, and validation. The descriptions reinforce these differences, with no overlap that would cause agent confusion or misselection.
All tools follow a consistent verb_noun pattern with 'extract' or 'validate' as the verb and 'pdf' plus a specific noun (metadata, pages, text, or implied file for validate). The naming is uniform and predictable throughout the set.
With 4 tools, the server is well-scoped for a PDF reader domain, covering key operations without bloat. Each tool earns its place by addressing a distinct aspect of PDF processing, making the count appropriate and focused.
The tool set covers essential PDF operations like metadata, content extraction, and validation, but lacks tools for actions like merging, splitting, or converting PDFs. These gaps are minor and agents can likely work around them for basic reading tasks.