Manage educational context based on courses, assignments, and exams using a knowledge graph.
Student MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Manage educational context based on courses, assignments, and exams using a knowledge graph.
An MCP server implementation that provides tools for managing student knowledge graphs, enabling structured representation of courses, assignments, exams, concepts, and study resources. This server helps students track their academic progress, manage deadlines, and optimize their learning journey.
Once Student is connected, these are the calls the assistant has available:
getCourseOverview — Comprehensive view of a course including lectures, assignments, exams, and resourcesgetUpcomingDeadlines — Find assignments and exams with approaching due datesgetAssignmentStatus — Get detailed status of assignments, including progress and related conceptsgetExamPrep — Get exam preparation materials and related conceptsfindRelatedConcepts — Discover connections between different educational conceptsgetStudyProgress — Track study progress across coursesgetTermOverview — Get overview of courses and work for an academic termgetConceptMastery — Assess level of understanding for specific conceptsgetStatusOverview — View all entities with a specific status (active, completed, pending, abandoned)getPriorityItems — Identify high-priority assignments and study tasksgetLearningSequence — Visualize the sequence of learning activities based on precedes relationsstartsession — Starts a new study session, generating a unique session ID and displaying current courses, upcoming deadlines, recently studied concepts, and pastgithub on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
You will need 2 environment variables: MEMORY_FILE_PATH, SESSIONS_FILE_PATH. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Student's toolset — getCourseOverview, getUpcomingDeadlines, getAssignmentStatus and 11 more — is a fair guide to whether it matches your workflow. It is maintained by tejpalvirk; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| getCourseOverview | Comprehensive view of a course including lectures, assignments, exams, and resources |
| getUpcomingDeadlines | Find assignments and exams with approaching due dates |
| getAssignmentStatus | Get detailed status of assignments, including progress and related concepts |
| getExamPrep | Get exam preparation materials and related concepts |
| findRelatedConcepts | Discover connections between different educational concepts |
| getStudyProgress | Track study progress across courses |
| getTermOverview | Get overview of courses and work for an academic term |
| getConceptMastery | Assess level of understanding for specific concepts |
| getStatusOverview | View all entities with a specific status (active, completed, pending, abandoned) |
| getPriorityItems | Identify high-priority assignments and study tasks |
| getLearningSequence | Visualize the sequence of learning activities based on precedes relations |
| startsession | Starts a new study session, generating a unique session ID and displaying current courses, upcoming deadlines, recently studied concepts, and past study sessions. Shows status information via has_status relations, priori |
| loadcontext | Loads detailed context for a specific entity (course, assignment, etc.), displaying relevant information based on entity type. Includes status information, priority levels, and sequential relationships between related en |
| endsession | Records the results of a study session through a structured, multi-stage process: 1. **summary**: Records session summary, duration, and course focus 2. **conceptsLearned**: Documents concepts studied during the session |
{
"mcpServers": {
"student": {
"command": "npx",
"args": [
"-y",
"github:tejpalvirk/student"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| MEMORY_FILE_PATH | Filesystem location the server is allowed to use. | Optional |
| SESSIONS_FILE_PATH | Filesystem location the server is allowed to use. | Optional |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.