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Glama
keigoly

pdf-chapter-splitter

by keigoly

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_pdf_infoA

Get PDF metadata (title, author, page count, file size)

get_tocB

Extract table of contents (bookmarks/outline) from a PDF. Returns hierarchical chapter structure with page numbers.

list_chaptersA

List chapters/sections detected from the PDF. Uses TOC if available, otherwise splits by pages. Returns chapter index, title, page range, and estimated line count.

read_chapterA

Read the text content of a specific chapter by its index (from list_chapters). Automatically truncates to stay within Claude Code's context limits.

read_pagesA

Read text content from a specific page range. Use this for fine-grained control or when chapters are too large.

detect_headingsA

Detect heading candidates by analyzing font sizes. Useful for PDFs without TOC/bookmarks to understand document structure before reading.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.7/5.0

Scored across 6 tools

Disambiguation4/5

Most tools are clearly distinct: metadata, TOC extraction, chapter listing, and raw page reading each have a clear purpose. get_toc, list_chapters, and detect_headings all relate to structure, but their descriptions clarify raw bookmarks vs. detected chapters vs. heading candidates.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: get_pdf_info, get_toc, list_chapters, read_chapter, read_pages, detect_headings. The verbs are varied but predictable based on the action, making the set easy to navigate.

Tool Count5/5

Six tools is a well-scoped size for this server. Each tool covers a distinct aspect of PDF chapter analysis without unnecessary redundancy or overwhelming breadth.

Completeness2/5

The toolset thoroughly covers analyzing a PDF and reading chapter content, but the server is named 'pdf-chapter-splitter' and provides no actual split, extract, or export operation. An agent could identify chapters and read them, but could not produce split chapter files as the server's name implies.

Maintenance

ActivityInactive
ResponsivenessNo issues