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Maheshdayyala

CampusMind-AI

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tasks
{
  "list": {},
  "cancel": {},
  "requests": {
    "tools": {
      "call": {}
    }
  }
}
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": true
}
resources
{
  "subscribe": true,
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
loginA

Authenticate with email and password. Returns a session token for subsequent requests.

list_coursesB

List all courses a student is enrolled in with basic info

get_conceptB

Get details about a specific concept including current mastery for a student

ask_questionA

Ask a question about a course topic. The system reads memory, answers using course context, identifies relevant concepts, infers confusion from phrasing, logs an interaction, and updates mastery records.

explain_conceptA

Get an adaptive explanation of a concept based on your current mastery level. Deeper explanations for weaker topics, concise for stronger ones.

log_quiz_resultA

Log a quiz or quick-check result for a concept. Updates mastery: correct answers boost confidence, incorrect ones reduce it and increment the wrong count.

log_topicA

Log a topic or doubt a student studied or asked about. Stores it with a timestamp and returns an id.

recall_topicA

Search previously logged topics by a keyword or vague query. Performs a fuzzy match against subject, topic, and note from interaction history.

get_mastery_heatmapA

Get mastery data organized by course for the mastery heatmap widget. Returns courses with their concepts and confidence scores.

get_review_dueA

Proactively find concepts that have not been reviewed in at least N days (spaced-repetition style). Returns overdue concepts with effective confidence and days since review.

mark_reviewedA

Mark a concept (by id) as reviewed right now. Resets its review clock, applies a confidence boost, and increments awareness.

demo_backdate_topicA

DEMO/TESTING ONLY: artificially age a concept's last-reviewed timestamp by N days so get_review_due can be tested without waiting real time.

set_study_goalA

Set a study goal for a student with a deadline. Goals appear in daily briefings and help the planner prioritize.

record_study_sessionA

Record a completed study session. Stores which topics were studied and duration, updates study streak analytics.

get_daily_briefingA

Build a daily academic summary: what is due soon, what should be reviewed today, trending weak topics, and urgent items. Call this at session start for a proactive briefing.

suggest_review_planA

Generate a spaced-repetition review plan from mastery data and recency. Prioritizes weak and long-unreviewed concepts.

flag_at_risk_topicsB

Surface concepts where low confidence intersects with deadline pressure or prolonged neglect. Prioritizes topics that need urgent intervention.

get_deadline_timelineA

Get deadlines organized for the timeline widget. Returns upcoming assignments sorted by due date with course context.

start_voice_sessionA

Creates a new voice interaction session. Logs the start and returns a greeting tailored to the student's current context — recent activity, upcoming assignments, and weak topics.

process_voice_inputA

Processes spoken input from a voice session: detects intent from transcript keywords, logs the interaction with voice-specific fields, updates mastery if a learning-related intent is detected, and returns a structured spoken response.

end_voice_sessionA

Ends an active voice session, logs a summary interaction, and returns session statistics including duration, interaction count, and topics covered.

get_progress_summaryA

Get a progress analytics summary: confidence trends, study hours, completed sessions, and weak areas.

Prompts

Interactive templates invoked by user choice

NameDescription
voice-tutor-sessionInstructs the AI for voice-based tutoring using spoken-word style: shorter sentences, clearer phrasing, and a conversational tone optimized for text-to-speech output.

Resources

Contextual data attached and managed by the client

NameDescription
Student ProfileReturns identity and academic profile details for the student
Course SyllabusReturns the full syllabus for a course in markdown
Academic Memory GraphCompact memory snapshot: enrolled courses, concept mastery, recent struggles, and study streak. Load this first when starting a session.
Weak TopicsLow-confidence concepts sorted by urgency, most in need of review first
Upcoming DeadlinesNear-term deadlines sorted by due date, with course context
Health ChecksCurrent health status of all registered health checks
Recall ListUI component for Recall List
Mastery HeatmapUI component for Mastery Heatmap
Review DueUI component for Review Due
Deadline TimelineUI component for Deadline Timeline
Progress DashboardUI component for Progress Dashboard
Widget ExamplesProvides metadata and examples for all registered UI widgets

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