ai-books-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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_knowledge_libraryA | Creates a new knowledge library by compressing text using gravitational memory. The text is split into chunks and compressed 15-60× while maintaining 100% data integrity. Perfect for large documents, codebases, or research papers. |
| query_knowledge_libraryA | Queries a knowledge library and retrieves the most relevant chunks for a given query. Returns extended context that can be used to answer questions with much more detail than would fit in a normal LLM context window. |
| extend_context_from_filesA | Loads multiple files, compresses them into temporary libraries, and retrieves relevant context for a given query. Perfect for quickly understanding large codebases or document sets without creating permanent libraries. |
| list_knowledge_librariesA | Lists all available knowledge libraries with their statistics. |
| get_library_statsA | Retrieves detailed statistics for a specific knowledge library. |
| delete_knowledge_libraryB | Permanently deletes a knowledge library. |
| verify_library_integrityA | Verifies that all chunks in a library maintain 100% data integrity by checking hashes. |
| search_documentsA | Searches for relevant chunks in a knowledge library and returns previews with relevance scores. |
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 8 tools
Each tool targets a distinct action: create, delete, list, get stats, query, search, extend context, and verify integrity. Query and search are subtly different but their descriptions clearly differentiate them (query returns extended context, search returns previews with scores).
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_knowledge_library, list_knowledge_libraries, get_library_stats). The minor pluralization in list_knowledge_libraries is a natural variation and does not harm consistency.
With 8 tools, the set is well-scoped for a knowledge library system. It covers core operations without being too sparse or overly numerous, fitting comfortably within the ideal 3-15 range.
The tool surface covers create, read (list, stats, query, search), delete, and integrity verification. However, there is no update or append tool to modify an existing library, which is a minor but notable gap in the lifecycle.