Education AI MCP

Education Ai MCP Server by MEOK AI Labs

Connector by CSOAI-ORG · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)

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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/csoai-org-education-ai-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Education Ai MCP Server by MEOK AI Labs

Reviews

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No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 3 read · 1 write · 0 delete · 1 not yet classified
Secrets: None asked for
Install scripts: Not scanned yet
Runs as: Python package

Tools by what they do 5

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

analyze_student_progress
generate_lesson_plan
recommend_learning_path

Write 1 · Create, change, send or run things.

create_quiz

Not yet classified 1 · We could not tell from the name and description.

generate_rubric

Tools (5)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

analyze_student_progress
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 inpu…
create_quiz
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 …
generate_lesson_plan
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…
generate_rubric
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 b…
recommend_learning_path
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. P…

Signals

Stars: 0
Forks: 0
Open issues: 0
Weekly downloads: 70
Last commit: Sep 4, 2026 (1 month ago)
Last release: Aug 19, 2026 (2 months ago)
Last package publish: Jun 27, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name: io.github.CSOAI-ORG/education-ai-mcp
Version: 1.0.11
Auth: No auth
Packages: pypi education-ai-mcp
License: MIT
Repository: github.com/CSOAI-ORG/education-ai-mcp
First seen: Oct 24, 2026
Last checked: Oct 25, 2026
Source: Official MCP Registry github-graphql

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Cite this page

Education AI MCP. Agent Mart. https://agentmart.dev/connectors/csoai-org-education-ai-mcp (last updated 2026-10-25)