this is an mcp server to access and automate the ai access for lms
View on GitHub ↗AI-powered LMS assistant that monitors assignments, generates solutions, creates formatted submission documents, and submits with user approval.
Built for SSN College of Engineering LMS (Moodle-based).
Command What it does ------ python -m app.main mcp Run MCP server (stdio) — connect AI agent python -m app.main web Run web dashboard at http://127.0.0.1:8080 python -m app.main all Run web UI + scheduler (MCP SSE mounted at /mcp) python -m app.main init-db Initialize/reset the database
Tool Description ------ login(username?, password?) Log in to LMS logout() Log out listassignments() List all visible assignments getassignment(id) Get full assignment details downloadattachment(id, url, filename?) Download attachment file classifyassignment(id) AI classify (doc/programming/handwritten/etc) solveassignment(id) AI generate solution generatedocument(id, fmt='docx') Create formatted DOCX/PDF uploadsubmission(id, filepath) Upload file to LMS submitassignment(id) Submit assignment getsubmissionstatus(id) Check submission status checksubmissionopen(id) Check if submission window is open
Resource URI Description ------ lms://assignments All known assignments from DB lms://assignments/{id} Single assignment details lms://assignments/{id}/submission Latest submission status lms://history Recent activity log lms://status Server & LMS connection health
Prompt Description ------ solveassignmentprompt(id) End-to-end solve workflow template classifyassignmentprompt(id) Classification workflow template reviewsubmission(id) Pre-submit review checklist
From the project README.
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Turn scattered notes, docs and transcripts into a queryable Markdown wiki — an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.
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