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ua.org.chertov/chertov
serveur MCP (Model Context Protocol) · Chertov & Vorobyov physics problem solutions (chertov.org.ua) 1.0.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que ua.org.chertov/chertov est sûr ?
Au dernier audit MCP Hub, le serveur MCP « ua.org.chertov/chertov » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 5 outils
- get_problem≈ 307 tokens
One solved problem, in full. Address it either with paragraph + number, or with label — the spoken form "1.12" (a dot, a dash or a space also work: "1-12", "1 12"). Returns JSON: when found, {found: true, problem: {label, paragraph, number, chapter, condition, solution_image_url, page_url, chapter_name, paragraph_name, chapter_url, paragraph_url, solution_format}}; otherwise {found: false, reason: "not_solved"|"not_found", label, paragraph, number, message}. A missing or unsolved problem is a normal result, not an error — do not retry it.
Paramètres, retour & exemple (3)
Paramètreslabel· string · optionnel
The problem label as it is spoken or written: "1.12", "1-12" or "1 12". Use this OR paragraph + number.number· integer · optionnel
Problem number within the paragraph. Give together with `paragraph`, or use `label` instead.paragraph· integer · optionnel
Paragraph (§) number. Give together with `number`, or use `label` instead.
Exemple d'appel{"name": "get_problem", "arguments": {"label": "texte", "number": 1, "paragraph": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - list_chapters≈ 152 tokens
Map of the whole corpus: every chapter of the Chertov & Vorobyov physics problem book, with its paragraph (§) numbers and how many solved problems it holds. Takes no arguments. Returns JSON: {chapters: [{chapter, name, paragraph_count, paragraphs, paragraph_range, solved_problem_count, page_url}], totals: {chapters, paragraphs, solved_problems}}. Call this first to learn the shape of the corpus.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_chapters", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - list_paragraphs≈ 183 tokens
Paragraphs (§) of the problem book, optionally restricted to one chapter. Arguments: chapter (optional integer). Returns JSON: {chapter, paragraphs: [{paragraph, name, chapter, chapter_name, solved_problem_count, problem_number_range, page_url}], totals: {paragraphs, solved_problems}}. Paragraph numbers are unique across the whole book, so a paragraph number alone addresses a section.
Paramètres, retour & exemple (1)
Paramètreschapter· integer · optionnel
Chapter number to restrict to. Omit for every paragraph in the book.
Exemple d'appel{"name": "list_paragraphs", "arguments": {"chapter": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - list_problems≈ 300 tokens
Solved problems of one paragraph (§), paginated and in book order. Arguments: paragraph (required integer), page (optional, default 1), per_page (optional, default 25, max 100). Returns JSON: {paragraph, paragraph_name, chapter, chapter_name, problems: [{label, paragraph, number, chapter, condition, solution_image_url, page_url}], pagination: {page, per_page, total, total_pages}}. `condition` is the problem statement as plain Russian text; the worked solution exists only as the GIF at `solution_image_url`. Problems without a solution are not listed and are not counted.
Paramètres, retour & exemple (3)
Paramètrespage· integer · optionnel
1-based page number. Defaults to 1.per_page· integer · optionnel
Results per page, 1 to 100. Defaults to 25.paragraph· integer · requis
Paragraph (§) number. Unique across the whole book; see list_paragraphs.
Exemple d'appel{"name": "list_problems", "arguments": {"paragraph": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_problems≈ 328 tokens
Full-text search over the Russian problem statements. Searches PROBLEMS ONLY — never articles or news. Arguments: query (required string, at least 5 characters once whitespace is removed), page (optional, default 1), per_page (optional, default 25, max 100). Returns JSON: {query, problems: [{label, paragraph, number, chapter, condition, solution_image_url, page_url}], pagination: {page, per_page, total, total_pages}}. Query in Russian — the statements are Russian. A shorter query is rejected with a validation error rather than returning nothing, and LIKE wildcards in the query are matched literally.
Paramètres, retour & exemple (3)
Paramètrespage· integer · optionnel
1-based page number. Defaults to 1.query· string · requis
Text to look for inside the problem statements, in Russian. At least 5 characters once all whitespace is removed — spaces do not count towards that minimum.per_page· integer · optionnel
Results per page, 1 to 100. Defaults to 25.
Exemple d'appel{"name": "search_problems", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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