Learning Assistant MCP Server
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": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| explainConceptA | Explains a programming concept in simple, beginner-friendly terms with examples |
| reviewCodeA | Reviews a code snippet and provides feedback on correctness, style, and potential improvements |
| suggestBestPracticeA | Suggests best practices for a specific programming task, pattern, or technology |
| compareApproachesA | Compares multiple approaches to solve a programming problem, listing pros and cons of each |
| generateLearningPathA | Creates a structured learning path with steps, resources, and milestones for learning a topic |
| debugHelperA | Analyzes an error message or bug description and provides debugging guidance |
| explainThisCodeA | Provides a detailed line-by-line or block-by-block explanation of what code does |
| quizMeA | Generates practice questions to test your understanding of a programming concept |
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 8 tools
Most tools have clearly distinct purposes, but explainConcept and explainThisCode could be confused by an agent selecting between a general concept explanation and a specific code explanation. Similarly, reviewCode and debugHelper overlap when reviewing buggy code, though their primary focuses differ.
Tool names mostly follow a camelCase verb_noun pattern (explainConcept, reviewCode, suggestBestPractice, compareApproaches, generateLearningPath, explainThisCode). However, debugHelper deviates as a noun phrase rather than a clear verb_noun, and quizMe uses an object pronoun instead of a direct noun.
With 8 tools, the server is well-scoped for a learning assistant. Each tool addresses a distinct pedagogical or coding assistance need, and the count is neither too sparse nor overwhelming.
The tool set covers the core learning workflow: explaining concepts, understanding code, reviewing code, debugging, suggesting best practices, comparing approaches, generating learning paths, and practice quizzes. There are no obvious gaps for the stated purpose of a learning assistant.