Education AI MCP
The Education AI MCP server provides AI-powered tools for educational content creation, student assessment, and personalized learning recommendations.
Generate Lesson Plans: Create structured lesson plans with objectives, activities, assessments, and optional differentiation strategies for any subject, topic, age group, and duration.
Create Quizzes: Build quizzes with multiple question types (multiple choice, true/false, short answer, fill-in-the-blank, matching), configurable difficulty, Bloom's taxonomy alignment, and an optional answer key.
Analyze Student Progress: Input student assessment scores over time to receive performance trend analysis and progress reports against a target grade.
Recommend Learning Paths: Generate personalized learning paths based on a student's subject, proficiency level, learning style, goals, and available study hours.
Generate Assessment Rubrics: Produce detailed grading rubrics with customizable criteria, performance levels (3β5), and scoring for assignment types such as essays, presentations, projects, lab reports, and portfolios.
EU AI Act Compliance: Built-in features for risk management, transparency, bias detection, and AI content watermarking.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Education AI MCP create a 10-question quiz on photosynthesis for 8th graders"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Education Ai MCP
MEOK AI Labs MCP Server
MEOK AI Labs MCP Server
π Quick Start
# Install via pip
pip install education_ai_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install education-ai-mcp --client claudeRelated MCP server: EduChain MCP Server
β¨ Features
MCP protocol compliant
Easy installation
Well-documented API
Production-ready
Active maintenance
π Documentation
π‘οΈ Compliance
This MCP server is built with EU AI Act compliance built-in:
β Article 9 β Risk Management System
β Article 13 β Transparency & Instructions for Use
β Article 15 β Bias Detection & Testing
β Article 26 β FRIA Support (where applicable)
β Article 50 β AI Content Watermarking (where applicable)
Need help getting compliant? Book a free 15-min diagnostic β
π’ Enterprise
Need custom development, SLA guarantees, or white-label deployment?
Pro: $99/mo β Full MCP suite + EU AI Act tracking
Enterprise: $499/mo β Custom dev + SLA + Dedicated support
View Pricing β | Contact Sales β
π€ Part of the MEOK Ecosystem
This server is part of the MEOK AI Labs ecosystem β 300+ MCP servers for sovereign AI governance.
Domain | Purpose |
EU AI Act compliance marketplace | |
AI safety & monitoring | |
Sovereign AI platform | |
Legacy modernization |
π License
MIT Β© CSOAI-ORG
Pairs with MEOK Governance Suite
Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool β EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.
# One-shot install of the governance pack
npx meok-setup --pack governanceFree tier: 10 calls/day per MCP. Pro tier (Β£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.
β Full catalogue: councilof.ai/catalogue β MEOK AI Labs: meok.ai
πΈ Try MEOK in 30 seconds β instant buy ladder
Tier | Price | What you get | Stripe |
Smoke test | Β£1 | Signed sample MCP-Hardening report + Article 50 PDF | |
Quick Kit | Β£9 | EU AI Act Article 50 implementation guide (C2PA + EU-Icon) | |
Founder Call | Β£29 | 30-min 1-on-1 with the founder |
Refundable. UK Stripe β VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.
Configuration
Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"education-ai-mcp": {
"command": "uvx",
"args": ["education-ai-mcp"]
}
}
}Or: pip install education-ai-mcp then run the education-ai-mcp command (stdio transport).
Examples
Once configured, ask your assistant, for example:
"Use
generate_lesson_planto β¦""Use
create_quizto β¦""Use
analyze_student_progressto β¦"
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 β 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 β 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 β 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 β 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 β 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.
Loading tool schema changelogβ¦
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.
Maintenance
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