Medify UCAT MCP Server

Model Context Protocol (MCP) server for Medify UCAT accounts. It authenticates as a member, pulls completed mock scores and practice analytics, and exposes tools for score trends, question-type weaknesses, timing sinks, and practice recommendations.

Medify does not publish a documented public API. This server talks to the same authenticated courses-api endpoints the Medify web app uses (member email/password or session cookie).

Unofficial. Not affiliated with or endorsed by Medify. Use only with accounts you own. Credentials stay on your machine.

Listed on Glama. Maintainer claim / release steps: docs/glama-release.md.

Features

• List completed full / mini mocks with VR, DM, QR (and SJ when present)

• Trend analysis: totals, section averages, recent vs earlier, best / worst

• Topic analytics: subtype accuracy vs Medify population (e.g. logic puzzles, tables)

• Question timing: clock usage, early/mid/late thirds, time sinks, fast guesses

• Focus recommendations with optional cognitive target (e.g. 2250)

• Local session + score cache under ~/.medify-mcp-server

Related MCP server: League of Legends MCP Server

Tools

Requirements

• Node.js 18+

• A Medify UCAT membership with completed mocks

Setup

git clone https://github.com/ankitforcode/medify-mcp-server.git
cd medify-mcp-server
npm install
cp .env.example .env
# edit .env — set MEDIFY_EMAIL + MEDIFY_PASSWORD (or MEDIFY_SESSION_COOKIE)
npm run build

Environment

Prefer a session cookie if password login is blocked (captcha / MFA).

Cursor / MCP client config

Add a stdio MCP server entry (path and env are examples):

{
  "mcpServers": {
    "medify-ucat": {
      "command": "node",
      "args": ["/absolute/path/to/medify-mcp-server/dist/index.js"],
      "env": {
        "MEDIFY_EMAIL": "you@example.com",
        "MEDIFY_PASSWORD": "your-password"
      }
    }
  }
}

Or point env at a dotenv file you load yourself, and keep secrets out of the MCP config.

Restart the MCP client after changing config or rebuilding.

npx (after publish)

{
  "mcpServers": {
    "medify-ucat": {
      "command": "npx",
      "args": ["-y", "medify-mcp-server"],
      "env": {
        "MEDIFY_EMAIL": "you@example.com",
        "MEDIFY_PASSWORD": "your-password"
      }
    }
  }
}

Example prompts

• “Check my Medify connection and list completed UCAT mocks.”

• “Analyse score trends and section strengths for full mocks only.”

• “Which question types am I weakest on vs the Medify population?”

• “Where do I lose time in VR, DM, and QR on recent full mocks?”

• “Recommend focus areas for a 2250 cognitive target; ignore SJ.”

• “Compare Mock 10 and Mock 11.”

Development

npm run build
npm test
npm start          # stdio MCP server

Project layout:

src/
  index.ts           # MCP stdio entry
  medify/            # auth client, fetch, normalize
  analysis/          # trends, topics, timing, recommendations
  tools/             # MCP tool schemas + handlers
.cursor/skills/
  medify-ucat-analysis/   # agent skill: run score/timing reports via MCP
  medify-mcp-maintain/    # agent skill: change this codebase safely

When you add or change MCP tools, update both skills (and tools-reference.md) in the same PR.

How it works

1. Authenticate via Devise login or an injected _medify_session_ cookie.

2. Read scaled scores from /courses-api/mock-scores-stats?course=ucat.

3. Optionally load JSON:API scripts from /courses-api/mock-exam-scripts for timing.

4. Read practice analytics from /courses-api/courses/ucat/topic-performances.

5. Cache mocks locally; analysis tools run on the cached / freshly fetched data.

Security

• Never commit .env or session cookies.

• Treat Medify credentials like any other account secret.

• This tool only reads account data needed for score analysis; it does not submit mocks.

License

MIT — see LICENSE.