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Brain Grain Quiz Coach — Alexa+ MCP Server

A self-hosted MCP server that turns Alexa+ (or any MCP client) into a bilingual Tamil / English exam coach.

"Alexa, quiz me on Indian Polity."

Built for the Build, Ship, Shape: Amazon Developer Hackathon 2026, Alexa+ track. Content comes from Brain Grain, a live exam-prep product used by learners in Tamil Nadu preparing for TNPSC, UPSC, CTET and school exams.

  • MCP spec 2025-11-25 via @modelcontextprotocol/sdk 1.30.0

  • Streamable HTTP transport (/mcp) and stdio

  • Every question is a real previous-year / textbook question with a verified explanation — nothing is generated on the fly

  • Wrong answer → the next question is a sibling on the same topic (adaptive follow-up)

Tools

Tool

What it does

start_quiz

Start a quiz — exam, subject, optional topic, language (en/ta), count

answer

Submit A/B/C/D or 1–4; returns verdict, explanation, and the next question

get_streak

Score, current/best streak, days active, weakest topics

list_topics

Topics available for an exam/subject

explain

Verified explanation for a concept keyword ("Article 17", "Preamble")

Related MCP server: InterviewDojo

Run it

npm install
npm start            # Streamable HTTP on http://localhost:3333/mcp
npm run stdio        # stdio transport for Claude Desktop / Cursor / MCP Inspector
npm test

Try it in the MCP Inspector:

npx @modelcontextprotocol/inspector node src/stdio.js

Claude Desktop config:

{ "mcpServers": { "braingrain": { "command": "node", "args": ["C:/path/to/braingrain-alexa-mcp/src/stdio.js"] } } }

Content

By default the server reads Brain Grain's live app-packs — public, read-only JSON at https://braingrain.in/data/app-packs/<exam>/<subject>.json. Exams: tnpsc-group1, tnpsc-group2, tnpsc-group4 (alias tnpsc), ctet, tntet. Subjects for TNPSC: polity, history, geography, economy, science, current, aptitude. Every pack is bilingual (q/q2, o/o2, e/e2).

data/sample-bank.json ships 65 bilingual TNPSC Polity questions (5 per topic across 13 topics) as a fallback: set BRAINGRAIN_OFFLINE=1 to force it, and it kicks in automatically if the network is down.

Env

Default

Purpose

PORT

3333

HTTP port

BRAINGRAIN_BANK_URL

https://braingrain.in/data/app-packs

Pack base URL

BRAINGRAIN_OFFLINE

unset

1 → sample bank only

Alexa+

Register the hosted /mcp endpoint as an Alexa+ MCP integration. Session identity: pass the Alexa user/profile id as learner so streaks persist across turns.

Repo layout

src/server.js   Streamable HTTP entry (express)
src/stdio.js    stdio entry
src/tools.js    the five tools
src/bank.js     sample-bank / API adapter
src/session.js  per-learner state + adaptive queue
data/           sample bank
friction-log.md what got in the way while building (hackathon friction log)

Licence

MIT — see LICENSE. Sample content © Brain Grain, included for evaluation.

Demo

npm start then open http://localhost:3333/demo/ — a simulated Alexa+ screen that drives the real server over MCP, with the JSON-RPC frames shown alongside. node demo/record.mjs records it to demo/out/demo.webm (needs Playwright; set PLAYWRIGHT_FROM to a project that has it).

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