EduBase MCP Server

What does “EduBase” MCP Server do?

The EduBase MCP (Model Context Protocol) Server functions as a bridge between AI assistants, like Claude, and the EduBase e-learning platform. By exposing EduBase’s capabilities via the MCP protocol, it allows LLMs and AI clients to perform advanced e-learning operations—such as uploading quiz questions, scheduling exams, and analyzing results—through a standardized interface. This significantly enhances development workflows in educational and enterprise contexts, enabling automated and interactive management of content, assessments, and user data. With support for various transport protocols (stdio, SSE, streamable HTTP), the server empowers AI-driven automation, seamless integration, and secure access to EduBase’s robust educational features.

List of Prompts

No explicit prompt templates are mentioned in the available documentation.

List of Resources

No explicit MCP resources are detailed in the documentation or repository.

List of Tools

No explicit tool definitions are described in the documentation or visible files.

Use Cases of this MCP Server

• Collaborative Content Creation: Enables AI assistants to help educators collaboratively create and upload new quiz questions, leveraging parametric templates and automatic grading features.
• Exam Scheduling and Management: Allows automated scheduling of exams and management of exam logistics through AI-driven commands, streamlining the assessment process.
• Analyzing User Results: Supports data-driven analysis and visualization of student performance, enabling instructors or AI tutors to quickly identify learning gaps and suggest improvements.
• Automated Quiz Generation: Empowers AI assistants to transform existing educational content into interactive quizzes and assessments, facilitating rapid content deployment.
• Integration with Existing Systems: Via MCP and EduBase APIs, allows seamless integration with institutional or enterprise learning environments, supporting single sign-on, access controls, and interoperability with other tools.

How to set it up

Windsurf

1. Prerequisites: Ensure Node.js and Windsurf are installed.
2. Navigate to Windsurf configuration (e.g., ~/.windsurf/config.json).
3. Add the EduBase MCP server to the mcpServers object:

   {
     "mcpServers": {
       "edubase-mcp": {
         "command": "npx",
         "args": ["@EduBase/mcp-server@latest"]
       }
     }
   }
   

4. Save and restart Windsurf.
5. Verify by checking MCP server connections in the Windsurf UI.

Securing API Keys

Add your API credentials using environment variables:

{
  "mcpServers": {
    "edubase-mcp": {
      "command": "npx",
      "args": ["@EduBase/mcp-server@latest"],
      "env": {
        "EDUBASE_API_KEY": "your-api-key"
      },
      "inputs": {
        "apiKey": "${EDUBASE_API_KEY}"
      }
    }
  }
}

Claude

1. Ensure Claude Desktop is installed.
2. Open the MCP integration settings.
3. Add the EduBase MCP server using similar JSON configuration.
4. Insert your API credentials securely using environment variables.
5. Save and restart Claude Desktop.

Cursor

1. Install Cursor with MCP support.
2. Access your .cursor/config.json file.
3. Insert the EduBase MCP server entry:

   {
     "mcpServers": {
       "edubase-mcp": {
         "command": "npx",
         "args": ["@EduBase/mcp-server@latest"]
       }
     }
   }
   

4. Save, then restart Cursor.

Cline

1. Install Cline and prerequisites.
2. Open Cline’s configuration file.
3. Add the EduBase MCP server configuration as shown above.
4. Save and restart Cline.
5. Check connection in the Cline interface.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "edubase-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “edubase-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The EduBase MCP server is well-documented for setup and integration, but currently lacks public details on prompt templates, tool interfaces, or resource surfaces in its documentation. It is clearly production-ready for EduBase/LLM integration but could benefit from more explicit developer-facing technical detail. Based on the above, we rate this MCP a 5/10 for developer readiness and completeness.

MCP Score