MCP server

Chertov & Vorobyov physics problem solutions

ua.org.chertov/chertov

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Read-only search and lookup over the Chertov & Vorobyov physics problem solutions (chertov.org.ua).

Working at last checkVerified publisher: org.uaAbout 1,259 tokens per request once connected5 tools

Website

https://www.chertov.org.ua/mcp

At a glance

Type: MCP server
Publisher: org.ua (verified by the MCP Registry)
Status: Working at last check
Tools: 5
Token cost: About 1,259 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http chertov https://www.chertov.org.ua/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.chertov]
url = "https://www.chertov.org.ua/mcp"

Gemini CLI

{"mcpServers":{"chertov":{"httpUrl":"https://www.chertov.org.ua/mcp"}}}

Cursor

{"mcpServers":{"chertov":{"url":"https://www.chertov.org.ua/mcp"}}}

VS Code

{"servers":{"chertov":{"type":"http","url":"https://www.chertov.org.ua/mcp"}}}

Antigravity

agy mcp add chertov https://www.chertov.org.ua/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"chertov","server_url":"https://www.chertov.org.ua/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"chertov","server_url":"https://www.chertov.org.ua/mcp"}

Tools

get_problem ~312 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_n
list_chapters ~140 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}], t
list_paragraphs ~173 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 num
list_problems ~301 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,
search_problems ~333 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,

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