Learning Orchestrator MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_progressive_syllabusA | Retrieves the exact deterministic lesson plan based on the student's mastery level. |
| generate_skills_assessmentC | Generates targeted questions mapped strictly to Bloom's Taxonomy cognitive dimensions. |
| calculate_spaced_repetitionB | Calculates the exact next optimal review date using the standardized SuperMemo SM-2 algorithm. |
| sync_ai_platform_stateC | AI Platform Connector: Verifies and synchronizes student progress with external platforms. |
| sync_lms_onboarding_stateC | LMS Sync Bridge: Integrates with Moodle/Canvas LTI services. Parses raw SCORM quiz scores, executes SM-2 scheduling, and outputs a signed LTI payload. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Most tools have distinct purposes: scheduling, assessment, syllabus, and syncing. However, 'calculate_spaced_repetition' and 'sync_lms_onboarding_state' both involve SM-2 scheduling, creating potential overlap and confusion for an agent.
All tools follow a consistent verb_noun pattern with underscores (e.g., calculate_spaced_repetition, sync_lms_onboarding_state), making it predictable and easy to understand.
With 5 tools, the server is well-scoped for a learning orchestrator. Each tool addresses a core need without unnecessary extras, fitting a typical range of 3-15 tools.
The set covers scheduling, assessment, syllabus retrieval, and external syncing, but lacks direct tools for student profile management or manual progress updates, which could lead to agent dead-ends.