Learning Orchestrator MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| 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 | |
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