Skip to main content
Glama
LeonardPuettmann

textbook-agent-mcp

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
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

NameDescription
get_tocA

Table of contents (3 levels): topic areas -> schede (with page ranges, exercise counts, completion checkmark) -> sections (the printed index entries inside each scheda, with book page and kind grammar/vocabulary).

get_pageA

Full content of one book page (OCR markdown). Look it up by PDF page or by printed book page.

list_exercisesC

List exercises (brief). Filters: scheda number, topic substring (e.g. 'passato prossimo'), exercise type, section title substring (e.g. 'imperfetto'), progress status.

get_exerciseC

Full exercise: instruction, content (markdown + structured items), metadata, source page, and the history of submitted solutions.

search

Full-text search over all pages and exercises (Italian). Returns matches with a context snippet and references.

submit_solution

Record a solution attempt for an exercise. The server only stores data: grading (is_correct/score/feedback) is whatever the caller provides; leave them out to record an ungraded submission.

get_progress

Progress rollup per scheda (or the whole book): exercise counts by status, attempts, last activity, and the completion checkmark (is_complete = every exercise of the scheda is completed).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/LeonardPuettmann/texbook-agent-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server