KeenIELTS
Free IELTS prep: band-scored student essays and interactive Listening/Reading drills graded in-chat.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"mcp": {
"url": "https://keenielts.com/mcp"
}
}
}Remote endpoints
https://keenielts.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (9)
🟢search_model_answers(task, band, query, limit)
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. limit: max results (1-50). Each result links to a full page with the question, the student's answer, and criterion-by-criterion examiner feedback. Use get_model_answer for the full content, or compare_question to see the same prompt at other bands.
Input Schema
{
"type": "object",
"properties": {
"task": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Task"
},
"band": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Band"
},
"query": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Query"
},
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
}
},
"title": "search_model_answersArguments"
}🟢get_model_answer(section_id, attempt_id)
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 from search_model_answers or compare_question.
Input Schema
{
"type": "object",
"properties": {
"section_id": {
"title": "Section Id",
"type": "integer"
},
"attempt_id": {
"title": "Attempt Id",
"type": "integer"
}
},
"required": [
"section_id",
"attempt_id"
],
"title": "get_model_answerArguments"
}🟢compare_question(section_id)
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.
Input Schema
{
"type": "object",
"properties": {
"section_id": {
"title": "Section Id",
"type": "integer"
}
},
"required": [
"section_id"
],
"title": "compare_questionArguments"
}🟢list_drills(skill, category)
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, multiple-choice, matching, labelling. Reading: true-false-not-given, completion, matching-headings, matching-information, multiple-choice-short-answer.
Input Schema
{
"type": "object",
"properties": {
"skill": {
"title": "Skill",
"type": "string"
},
"category": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Category"
}
},
"required": [
"skill"
],
"title": "list_drillsArguments"
}🟢get_drill(skill, slug)
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 to play before answering. Collect the user's answers, then call check_drill_answers to grade them — do NOT guess at or reveal correct answers yourself; they are only returned by check_drill_answers.
Input Schema
{
"type": "object",
"properties": {
"skill": {
"title": "Skill",
"type": "string"
},
"slug": {
"title": "Slug",
"type": "string"
}
},
"required": [
"skill",
"slug"
],
"title": "get_drillArguments"
}🟢check_drill_answers(skill, slug, answers)
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, e.g. {"1": "true", "2": "B", "3": "24 April"}. Returns per-question results with the accepted answers and explanations (safe to share with the user now that they have answered), plus a score.
Input Schema
{
"type": "object",
"properties": {
"skill": {
"title": "Skill",
"type": "string"
},
"slug": {
"title": "Slug",
"type": "string"
},
"answers": {
"additionalProperties": {
"type": "string"
},
"title": "Answers",
"type": "object"
}
},
"required": [
"skill",
"slug",
"answers"
],
"title": "check_drill_answersArguments"
}🟢list_practice_tests
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 the URLs. Taking tests and getting AI band scores is free.
Input Schema
{
"type": "object",
"properties": {},
"title": "list_practice_testsArguments"
}🟢search(query)
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.
Input Schema
{
"type": "object",
"properties": {
"query": {
"title": "Query",
"type": "string"
}
},
"required": [
"query"
],
"title": "searchArguments"
}🟢fetch(id)
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.
Input Schema
{
"type": "object",
"properties": {
"id": {
"title": "Id",
"type": "string"
}
},
"required": [
"id"
],
"title": "fetchArguments"
}Community
Evidence