DeepMark
About
DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
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Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
DeepMarkCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
{
"mcpServers": {
"deepmark": {
"type": "http",
"url": "https://api.getdeepmark.com/mcp"
}
}
}
paper_create
Create a complete, markable exam paper from pasted text. Provide the question paper text (required) and, if the teacher has one, the mark scheme text — DeepMark extracts it. Omit the mark scheme to have DeepMark generate schemes (lower quality, but the paper is still markable). Send RAW text: do not pre-structure it into questions or author a mark scheme yourself. Extraction runs asynchronously — this returns a job_id. Poll ingestion_get until it reaches `awaiting_confirmation`, then call paper_confirm to mint the paper. RATE LIMITED: up to 3 papers per 24 hours per account (marking existing papers is unaffected).
paper_confirm
Mint the exam paper from a job parked at awaiting_confirmation (created via paper_create). Materialises the ExamPaper, questions, and mark schemes from the extraction draft, synchronously. Optionally override the detected identity (title/subject/board/year); omit to use what extraction detected. Idempotent — confirming an already-committed job returns its paper. Returns the exam_paper_id.
ingestion_get
Read the current state of an ingestion job (paper creation or document ingestion). Returns the status plus a derived `awaiting` gate ('triage' | 'confirmation' | null), whether it is terminal, and the next action to take. Poll this after starting a job: a paper-creation job parks at `awaiting_confirmation` (then call paper_confirm) — it does NOT run to `complete` on its own. Stop polling on a terminal status (complete | failed | cancelled) or when an action is required.
submission_mark
Mark a student's typed answers against an existing exam paper. Provide the exam_paper_id and per-question answers keyed by question_number. DeepMark creates a submission and grades it through its canonical marker (per mark point / level descriptor) — results stream into the teacher's editor live. Grading is asynchronous: this returns a submission_id; poll submission_get for the per-question grades.
submission_get
Read the grading state and per-question marks for a submission (created via submission_mark). Returns each question's marking_status, awarded/max marks, level, and feedback, plus an overall status ('grading' until every question is marked). Poll after submission_mark.
markResult_get
Retrieve the marking result for a specific answer by its ID
paper_list
List all exam papers with optional filtering
paper_get
Retrieve a specific exam paper by its ID with question details
question_update
Update an existing GCSE question by its ID
markScheme_update
Update an existing mark scheme by its ID
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"deepmark": {
"deepmark": {
"type": "http",
"url": "https://api.getdeepmark.com/mcp"
}
}
}
}McpServers
{
"deepmark": {
"type": "http",
"url": "https://api.getdeepmark.com/mcp"
}
}DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
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