ClimbMCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ClimbMCP find chapters about sport climbing techniques"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Climbing MCP Server
An MCP (Model Context Protocol) server for serving climbing book PDF chapters to Claude.
Features
Store PDF chapters in the
chapters/directoryList all available chapters with metadata
Search for relevant chapters based on query
Serve PDF content directly to Claude for reading
Related MCP server: obsidian-vault-mcp
Setup
Install dependencies:
npm installAdd your PDF files to the
chapters/directoryCreate corresponding
.jsonmetadata files for each PDF with:title: Chapter titledescription: Brief descriptionkeywords: Array of relevant keywords for search
Usage
Add to your Claude Desktop configuration:
{
"mcpServers": {
"climbing-pdf": {
"command": "node",
"args": ["E:/Projects/climbing-mcp-server/src/index.js"]
}
}
}Available Tools
list_chapters: Lists all available PDF chaptersget_chapter: Retrieves a specific PDF for Claude to readsearch_relevant_chapter: Finds the most relevant chapters based on a query
Adding PDFs
Place PDF files in the
chapters/directoryCreate a corresponding
.jsonfile with the same name (e.g.,chapter1.pdf→chapter1.json)The metadata helps with search and relevance scoring
Available Tools
5 toolsextract_chapter_contentA
Extract and cache text and images from a chapter for future searches
Inputs: book_name (required), chapter_name (required), force_reextract.
get_chapter_sectionB
Get a specific section of a chapter with text and associated images
Inputs: book_name (required), chapter_name (required), section_topic (required), context_level.
get_chapter_textA
Get readable text from a chapter - combines extraction and cleaning into one tool
Inputs: book_name (required), chapter_name (required), length, start_chars, +1 more.
list_books_and_chaptersA
List all available books and their PDF chapters with extraction status and content metadata
Inputs: no named parameters.
search_contentA
Search within extracted PDF text and return relevant sections with page references
Inputs: query (required), max_results.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 5 tools
Most tools have clear, distinct purposes: listing, searching, section retrieval, extraction, and full-text fetching. The only potential confusion is between extract_chapter_content and get_chapter_text, both of which involve extraction, but their descriptions sufficiently separate the low-level caching action from the combined extraction-and-cleaning result.
All tool names follow a consistent snake_case verb_noun pattern, with clear verbs like list, search, get, and extract. The naming makes the tool set predictable and easy to navigate.
Five tools is a well-scoped size for this server's purpose. Each tool addresses a distinct part of the workflow: discovering books, extracting content, searching text, and retrieving specific sections or readable chapter text.
The tool surface covers the full reading and search lifecycle for a PDF chapter repository: list available books, extract content, search across text, and retrieve sections or readable text. No critical actions are missing for the apparent domain.
Maintenance
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