EduChain

Local MCP server that generates MCQs, lesson plans, and flashcards using EduChain with Claude Desktop.
  • python

0

GitHub Stars

python

Language

5 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

You run a local MCP server that lets you generate MCQs, lesson plans, and flashcards using EduChain together with Claude Desktop. It runs locally, keeps your data private, and can be extended with additional tools and configurations.

How to use

To use the EduChain MCP server, connect your MCP client (such as Claude Desktop) to the local server and select the EduChain endpoints for MCQ generation, lesson planning, or flashcard creation. Run the server locally first, then start Claude Desktop and configure the MCP connection to the local endpoint. You can use the provided authentication options to control collaboration or run without strict authentication in a development setup.

How to install

Prerequisites you need before installation: Python 3.x, Git, and a working internet connection.

  1. Clone the EduChain repository and install dependencies.

How to install

  1. Install EduChain locally and install required packages.

How to install

  1. Add your Gemini API key to a local environment file.

How to install

  1. Run the local MCP server either manually or under Claude management.
# Manual run
python server.py

# Claude-managed run (as configured in the environment)
# See the config example in the Claude setup below

Available tools

generate_mcqs

Generates multiple-choice questions for a topic using EduChain tooling integrated with LangChain and Gemini API.

generate_flashcards

Creates flashcards for a topic to assist study and memory retention using EduChain capabilities.

generate_lesson_plan

Produces structured lesson plans outlining topics, objectives, activities, and timelines.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational