MCP server

English Test Coach

io.github.jimbob1414/english-test-coach

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

IELTS writing practice, study plans, lessons and vocabulary with optional account tools.

Working at last checkAbout 2,061 tokens per request once connected7 tools

Website

https://englishtestcoach.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 7
Token cost: About 2,061 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 english-test-coach https://englishtestcoach.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.english-test-coach]
url = "https://englishtestcoach.com/mcp"

Gemini CLI

{"mcpServers":{"english-test-coach":{"httpUrl":"https://englishtestcoach.com/mcp"}}}

Cursor

{"mcpServers":{"english-test-coach":{"url":"https://englishtestcoach.com/mcp"}}}

VS Code

{"servers":{"english-test-coach":{"type":"http","url":"https://englishtestcoach.com/mcp"}}}

Antigravity

agy mcp add english-test-coach https://englishtestcoach.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":"english-test-coach","server_url":"https://englishtestcoach.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"english-test-coach","server_url":"https://englishtestcoach.com/mcp"}

Tools

analyze_writing ~132 tokens
Count words, sentences and paragraphs in a piece of writing and compare the word count with the IELTS minimum for the task. Runs locally: nothing is saved or sent to an AI. These counts are not a band score.
calculate_band_score ~262 tokens
Calculate the overall IELTS band from Listening, Reading, Writing and Speaking bands using the official rounding (averages ending .25 round up to the next half band, .75 to the next whole band). Optionally estimate a Writing band from Task 1 and Task 2 bands (Task 2 counts double; this part is an es
get_practice_task ~444 tokens
Get one original practice question by ID, with planning guidance for its question type and links to any annotated sample answers. Academic Task 1 visuals are linked as images; do not invent their figures.
get_sample_answer ~739 tokens
Read one original annotated sample answer by ID (from get_practice_task), with paragraph notes and useful vocabulary. Samples show techniques; they are not officially scored scripts.
list_lessons ~105 tokens
List the original writing or speaking lessons, or read one lesson in full by ID. Lesson quizzes are study checks, not IELTS scores.
search_practice ~223 tokens
Search original IELTS-style writing practice questions (Academic Task 1 and 2, General Training Task 1 and 2). Returns task IDs for get_practice_task. Not official exam questions.
search_vocabulary ~156 tokens
Search original IELTS vocabulary entries with meaning, an example sentence and a usage caution. Use words for their meaning, not as a shortcut to a higher band.

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