Which integrations are available for this server?

Utilizes Google's Gemini AI models to generate educational content, including multiple-choice questions, flashcards, and structured lesson plans.

How do I use EduChain MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@EduChain MCP Server generate 5 multiple-choice questions about photosynthesis" 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.

EduChain MCP Server for Claude Desktop

A local MCP (Model Context Protocol) server that integrates the EduChain educational content generation library with Claude Desktop, allowing users to generate MCQs, lesson plans, and flashcards using LLMs like Gemini (via LangChain).

🚀 Features

Multiple Choice Questions Generator
Lesson Plan Generator
Flashcard Generator
Claude-compatible MCP server with FastMCP
Fully local, secure, and extensible integration

🧠 Powered By

📁 Project Structure

├── server.py # Main MCP server script ├── get_educhain.py # LLM & EduChain config using Gemini ├── tools/ │ ├── generate_mcqs.py │ ├── generate_lesson_plan.py │ └── generate_flashcards.py ├── educhain/ # Cloned EduChain repo (not pushed) ├── .env # Contains GEMINI_API_KEY ├── requirements.txt ├── Educhain_McpReport.pdf ├── sample_output.txt # Sample response from all tools/resources └── README.md --- ## ⚙️ Installation ### 1. Clone and Install EduChain Locally ```bash git clone https://github.com/satvik314/educhain.git cd educhain pip install .

2. Install Required Packages

pip install -r requirements.txt

3. Add your Gemini API key

Create a .env file:

GEMINI_API_KEY=your-gemini-api-key-here

🧪 Running the MCP Server

Option 1: Manual Run (for testing)

python server.py

Option 2: Claude-Managed (recommended)

Use the following claude_config.json:

{ "mcpServers": { "educhain": { "command": "python", "args": ["server.py"], "cwd": "C:/absolute/path/to/project", "transport": "stdio", "env": { "DANGEROUSLY_OMIT_AUTH": "true" } } } }

Save it to:

C:/Users/YOURNAME/.claude/config.json

Then restart Claude Desktop and go to Developer → Restart Server.

🔐 Alternative: Use Auth Tokens for Collaboration

If you're working in a collaborative setup or want stricter control, you can remove the DANGEROUSLY_OMIT_AUTH setting and instead use the auth_token from the MCP Inspector like this:

{ "mcp_servers": [ { "label": "EduChain Gemini Server", "url": "http://127.0.0.1:6277", "auth_token": "your-session-token" } ] }

This is useful when running the server via:

mcp dev server.py

It connects through the local proxy with full inspection/debug support.

🧰 Available Tools & Resources

Name	Type	Description
`generate_mcq_tool`	Tool	Creates multiple-choice questions for a topic
`generate_flashcard_tool`	Tool	Generates flashcards for a topic
`lesson_plan_resource`	Resource	Provides a structured lesson plan

🛠 Troubleshooting

If ports like 6277 or 6274 are in use, kill conflicting processes
MCP Inspector (via mcp dev server.py) may block Claude — only run one at a time
Ensure educhain/ is installed but not committed (add it to .gitignore)

💡 Contributions

This integration was created as part of an internship assignment to showcase:

LLM tool integration
MCP protocol understanding
Custom tool chaining with LangChain
Gemini API usage via LangChain adapters

📄 License

This repository is for educational and internship use. EduChain is used under its respective open license.

🙌 Acknowledgements

@satvik314 for EduChain
Anthropic for Claude Desktop
Google for Gemini

📞 Contact

Feel free to reach out via LinkedIn or email for collaboration or queries.

This server cannot be installed

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security - not tested

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quality - not tested

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