MCP server

KeenIELTS Official

com.keenielts/mcp

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

Free IELTS prep: band-scored student essays and interactive Listening/Reading drills graded in-chat.

Working at last checkVerified publisher: keenielts.comAbout 1,646 tokens per request once connected9 tools

Website

https://keenielts.com/mcp

At a glance

Type: MCP server
Publisher: keenielts.com (verified by the MCP Registry)
Status: Working at last check
Tools: 9
Token cost: About 1,646 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 keenielts https://keenielts.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.keenielts]
url = "https://keenielts.com/mcp"

Gemini CLI

{"mcpServers":{"keenielts":{"httpUrl":"https://keenielts.com/mcp"}}}

Cursor

{"mcpServers":{"keenielts":{"url":"https://keenielts.com/mcp"}}}

VS Code

{"servers":{"keenielts":{"type":"http","url":"https://keenielts.com/mcp"}}}

Antigravity

agy mcp add keenielts https://keenielts.com/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":"keenielts","server_url":"https://keenielts.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"keenielts","server_url":"https://keenielts.com/mcp"}

Tools

check_drill_answers ~251 tokens
Grade a user's drill answers server-side (same grader the website uses — case/whitespace tolerant, accepts standard IELTS answer variants). Args: skill: 'listening' or 'reading'. slug: the drill slug from get_drill. answers: question number -> the user's answer,
compare_question ~142 tokens
List every public band-scored answer to ONE IELTS Writing question — the same prompt answered by different students at different band scores, useful for showing what separates a Band 6 from a Band 8 on identical input. Fetch individual answers with get_model_answer.
fetch ~100 tokens
Fetch the full content of a KeenIELTS search result by id: a model answer with examiner feedback, a practice drill, a question compared across band scores, or a site page.
get_drill ~212 tokens
Get one drill's content so the user can attempt it in conversation. The questions are markdown; `{{3}}` marks a gap the user fills for question 3, and `{{3:A/B/C}}` means question 3 is a choice between the slash-separated options. For listening drills, give the user the audio link t
get_model_answer ~182 tokens
Get one student IELTS Writing answer in full: the question, the essay, and the AI examiner's band scores + feedback on all four official IELTS marking criteria (Task Achievement, Coherence & Cohesion, Lexical Resource, Grammatical Range & Accuracy). Get section_id/attempt_id pairs f
list_drills ~216 tokens
List short, targeted IELTS practice drills that can be taken right here in the conversation (fetch with get_drill, grade with check_drill_answers). Args: skill: 'listening' or 'reading'. category: optional IELTS question-type filter. Listening: completion, multip
list_practice_tests ~146 tokens
Catalog of full-length IELTS practice tests on keenielts.com — books, difficulty, and test counts for all four skills (Listening, Reading, Writing, Speaking). Full tests are taken on the website (timed, with audio players and AI band scoring), not in this conversation — point the user at
search ~105 tokens
Search KeenIELTS: real student IELTS Writing model answers with band scores, Listening/Reading practice drills, and IELTS practice resources. Returns result ids for use with fetch.
search_model_answers ~292 tokens
Search real student IELTS Writing answers scored by AI examiner. Args: task: IELTS Writing task number — 1 (reports/letters) or 2 (essays). band: whole band to filter on; matches half-bands too (8 -> 8.0-8.5). query: free-text match against the question/prompt. l

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