Education AI MCP
ueducationU aiU mcp
Создано MEOK AI Labs | meok.ai
Установка · Документация · Сообщить об ошибке
Установка
pip install education-ai-mcp
# or
npm install -g @meok-ai/education-ai-mcpRelated MCP server: EduChain MCP Server
Быстрый старт
Полную документацию и примеры смотрите в репозитории проекта.
Корпоративная поддержка
Лицензия
MIT © CSOAI
Available Tools
5 toolsanalyze_student_progressA
Analyze student performance trends and generate progress report.
Args:
student_name: Student's name
assessments: List of dicts with keys: subject, score (0-100), date, assessment_name (optional)
target_grade: Target grade percentage
Behavior:
This tool generates structured output without modifying external systems.
Output is deterministic for identical inputs. No side effects.
Free tier: 10/day rate limit. Pro tier: unlimited.
No authentication required for basic usage.
When to use:
Use this tool when you need structured analysis or classification
of inputs against established frameworks or standards.
When NOT to use:
Not suitable for real-time production decision-making without
human review of results.
Behavioral Transparency:
- Side Effects: This tool is read-only and produces no side effects. It does not modify
any external state, databases, or files. All output is computed in-memory and returned
directly to the caller.
- Authentication: No authentication required for basic usage. Pro/Enterprise tiers
require a valid MEOK API key passed via the MEOK_API_KEY environment variable.
- Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are
included in responses (X-RateLimit-Remaining, X-RateLimit-Reset).
- Error Handling: Returns structured error objects with 'error' key on failure.
Never raises unhandled exceptions. Invalid inputs return descriptive validation errors.
- Idempotency: Fully idempotent — calling with the same inputs always produces the
same output. Safe to retry on timeout or transient failure.
- Data Privacy: No input data is stored, logged, or transmitted to external services.
All processing happens locally within the MCP server process.
Inputs: student_name (required), assessments (required), target_grade, api_key.
create_quizA
Create a quiz with various question types aligned to Bloom's taxonomy.
Args:
topic: Quiz topic
num_questions: Number of questions (max 30)
difficulty: Difficulty level: easy, medium, hard, mixed
question_types: Types to include: multiple_choice, true_false, short_answer, fill_blank, matching
age_group: Target age group
include_answers: Include answer key
Behavior:
This tool generates structured output without modifying external systems.
Output is deterministic for identical inputs. No side effects.
Free tier: 10/day rate limit. Pro tier: unlimited.
No authentication required for basic usage.
When to use:
Use this tool when you need structured analysis or classification
of inputs against established frameworks or standards.
When NOT to use:
Not suitable for real-time production decision-making without
human review of results.
Behavioral Transparency:
- Side Effects: This tool is read-only and produces no side effects. It does not modify
any external state, databases, or files. All output is computed in-memory and returned
directly to the caller.
- Authentication: No authentication required for basic usage. Pro/Enterprise tiers
require a valid MEOK API key passed via the MEOK_API_KEY environment variable.
- Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are
included in responses (X-RateLimit-Remaining, X-RateLimit-Reset).
- Error Handling: Returns structured error objects with 'error' key on failure.
Never raises unhandled exceptions. Invalid inputs return descriptive validation errors.
- Idempotency: Fully idempotent — calling with the same inputs always produces the
same output. Safe to retry on timeout or transient failure.
- Data Privacy: No input data is stored, logged, or transmitted to external services.
All processing happens locally within the MCP server process.
Inputs: topic (required), num_questions, difficulty, question_types, +3 more.
generate_lesson_planA
Generate a structured lesson plan with objectives, activities, and assessment.
Args:
subject: Subject area (e.g. "Mathematics", "Science", "English")
topic: Specific topic (e.g. "Quadratic Equations", "Photosynthesis")
age_group: Student age range (e.g. "11-13", "14-16", "16-18")
duration_minutes: Lesson duration in minutes
learning_objectives: Custom objectives (auto-generated if omitted)
differentiation: Include differentiation strategies
Behavior:
This tool generates structured output without modifying external systems.
Output is deterministic for identical inputs. No side effects.
Free tier: 10/day rate limit. Pro tier: unlimited.
No authentication required for basic usage.
When to use:
Use this tool when you need structured analysis or classification
of inputs against established frameworks or standards.
When NOT to use:
Not suitable for real-time production decision-making without
human review of results.
Inputs: subject (required), topic (required), age_group, duration_minutes, +3 more.
generate_rubricA
Generate an assessment rubric with detailed criteria and descriptors.
Args:
assignment_title: Title of the assignment
criteria: Custom assessment criteria (auto-generated if omitted)
levels: Number of performance levels (3-5)
max_score: Maximum total score
assignment_type: Type: essay, presentation, project, lab_report, portfolio
Behavior:
This tool generates structured output without modifying external systems.
Output is deterministic for identical inputs. No side effects.
Free tier: 10/day rate limit. Pro tier: unlimited.
No authentication required for basic usage.
When to use:
Use this tool when you need structured analysis or classification
of inputs against established frameworks or standards.
When NOT to use:
Not suitable for real-time production decision-making without
human review of results.
Behavioral Transparency:
- Side Effects: This tool is read-only and produces no side effects. It does not modify
any external state, databases, or files. All output is computed in-memory and returned
directly to the caller.
- Authentication: No authentication required for basic usage. Pro/Enterprise tiers
require a valid MEOK API key passed via the MEOK_API_KEY environment variable.
- Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are
included in responses (X-RateLimit-Remaining, X-RateLimit-Reset).
- Error Handling: Returns structured error objects with 'error' key on failure.
Never raises unhandled exceptions. Invalid inputs return descriptive validation errors.
- Idempotency: Fully idempotent — calling with the same inputs always produces the
same output. Safe to retry on timeout or transient failure.
- Data Privacy: No input data is stored, logged, or transmitted to external services.
All processing happens locally within the MCP server process.
Inputs: assignment_title (required), criteria, levels, max_score, +2 more.
recommend_learning_pathA
Recommend a personalized learning path based on student profile.
Args:
subject: Subject area
current_level: Current proficiency: beginner, intermediate, advanced
learning_style: Learning style: visual, auditory, kinesthetic, reading_writing
goals: Specific learning goals
available_hours_per_week: Hours available for study per week
Behavior:
This tool is read-only and stateless — it produces analysis output
without modifying any external systems, databases, or files.
Safe to call repeatedly with identical inputs (idempotent).
Free tier: 10/day rate limit. Pro tier: unlimited.
No authentication required for basic usage.
When to use:
Use this tool when you need structured analysis or classification
of inputs against established frameworks or standards.
When NOT to use:
Not suitable for real-time production decision-making without
human review of results.
Behavioral Transparency:
- Side Effects: This tool is read-only and produces no side effects. It does not modify
any external state, databases, or files. All output is computed in-memory and returned
directly to the caller.
- Authentication: No authentication required for basic usage. Pro/Enterprise tiers
require a valid MEOK API key passed via the MEOK_API_KEY environment variable.
- Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are
included in responses (X-RateLimit-Remaining, X-RateLimit-Reset).
- Error Handling: Returns structured error objects with 'error' key on failure.
Never raises unhandled exceptions. Invalid inputs return descriptive validation errors.
- Idempotency: Fully idempotent — calling with the same inputs always produces the
same output. Safe to retry on timeout or transient failure.
- Data Privacy: No input data is stored, logged, or transmitted to external services.
All processing happens locally within the MCP server process.
Inputs: subject (required), current_level, learning_style, goals, +2 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 5 tools
Each tool targets a distinct educational function: progress analysis, quiz creation, lesson plan generation, rubric generation, and learning path recommendation. There is no overlap in purpose, and the descriptions clearly differentiate them.
All tools follow a consistent 'verb_noun' pattern in snake_case: analyze_student_progress, create_quiz, generate_lesson_plan, generate_rubric, recommend_learning_path. The verbs are varied but the pattern is uniform, making the set predictable.
With 5 tools, the server is well-scoped for an education AI assistant. Each tool covers a major educational task without redundancy, and the count is neither too sparse nor overly heavy.
The tool set covers core educational workflows: analysis, quiz creation, lesson planning, rubric generation, and learning path recommendation. Minor gaps exist (e.g., no feedback generation or class management), but the surface is largely adequate for common teaching scenarios.
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