nano-pdf-mcp
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 | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| read_pdfA | Reads text from a specific range of pages in a PDF file in a memory-efficient way. It streams pages one by one without loading the entire document into memory. |
| split_pdfA | Creates a new PDF containing only the specified page ranges from the source PDF. This operation is extremely memory efficient as it copies C-level pointers rather than re-encoding the content. |
| save_markdown_summaryA | Saves organized, AI-summarized, or extracted markdown content to a file. Use this tool after reading a PDF to document findings without retaining the original PDF's garbage layout. |
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 3 tools
Each tool has a clearly distinct purpose: read_pdf extracts text, save_markdown_summary saves a summary, and split_pdf creates a new PDF from page ranges. No overlap in functionality.
All tools follow a consistent verb_noun pattern in snake_case (read_pdf, save_markdown_summary, split_pdf), making them predictable and easy to understand.
With 3 tools, the server is somewhat minimal but still appropriate for its focused purpose of PDF text extraction and splitting. It could benefit from additional tools like merge or annotation, but the count is reasonable.
The tool set covers basic PDF operations (reading, splitting, saving output) but lacks common features like merging, converting formats, or extracting images, leaving notable gaps for a general PDF tool.