Schema | pdf-chapter-splitter

pdf-chapter-splitter

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
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.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/keigoly/pdf-chapter-splitter'

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