Ekursy Py

A Model Context Protocol (MCP) server written in Python using FastMCP, which integrates with the ekursy-zero Rust scraper to expose student profile information, course lists, course grades, page contents, and course materials (PDF/images) from the eKursy platform to AI tools.

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Prerequisites

Before running the server, ensure you have:

1. Git installed on your system.
2. Docker installed on your system
3. Python installed on your system

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Installation & Setup

Method 1: Automatic Setup Script for Antigravity (Recommended)

If you dont use antigravity this won't work for you. See manual methods below or ask your AI agent

This repository includes a cross-platform setup script that automatically initializes git submodules, prompts you for credentials to create the .env file, and configures the Gemini / Antigravity integration file for you.

• Windows: Run scripts\setup.bat (Double-click or run in terminal: .\scripts\setup.bat)
• macOS / Linux: Run ./scripts/setup.sh (or bash scripts/setup.sh)

The script will configure MCP in Antigravity and start the server in docker. You only need to restart Antigravity and this MCP server should work

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Alternative/Manual Methods

1. Initialize Submodule & Credentials Manually

If you prefer not to use the setup script:

git submodule update --init --recursive

And manually create a .env file in the root directory:

MOODLE_USERNAME="[email protected]"
MOODLE_PASSWORD="your_moodle_password"
MCP_TRANSPORT="streamable-http" # optional: defaults to streamable-http when running using docker compose, set to stdio to run locally

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How to Run

Option A: Run via Docker Compose

This runs both the ekursy-zero scraper backend and ekursy-mcp-py server together. The scraper remains private and isolated inside the container network (ports are not exposed to the host).

By default, Docker Compose runs the MCP server in streamable-http mode. If you need to configure the transport type, you can set MCP_TRANSPORT in your .env file (e.g., MCP_TRANSPORT=stdio or MCP_TRANSPORT=streamable-http).

File Downloads & Shared Volumes

When running via Docker Compose, the host's ./downloads directory is mounted to /app/downloads in the container.

• The environment variable HOST_DOWNLOADS_DIR is set in docker-compose.yml as ${PWD}/downloads.
• When an MCP tool calls save_resource (e.g. download PDF or images), the file is saved inside this volume. The server uses HOST_DOWNLOADS_DIR to report the exact absolute host path back to the MCP caller so you know exactly where to locate the file on your machine.

Run the following command:

docker compose up --build

The MCP server will start on HTTP port 6969 (if using streamable-http mode). You can verify it by reaching the MCP endpoint: http://localhost:6969/mcp

Option B: Run Locally

To run the server locally using the standard stdio transport:

uv run src/main.py

Note: By default, running the script directly uses stdio transport. You can force it to run as a local HTTP server by setting the MCP_TRANSPORT environment variable: MCP_TRANSPORT=streamable-http uv run src/main.py (which runs on port 6969 or the port specified in PORT).

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Manual Integration with Antigravity / Gemini MCP

To manually connect this Python MCP server to your Antigravity environment:

1. Locate the configuration file on your system (e.g., C:\Users\Marcin\.gemini\config\mcp_config.json or config.json).
2. Add a new server entry inside the mcpServers object.

Recommended Config (Docker / Streamable HTTP Server)

Add the following snippet to your configuration block:

{
  "mcpServers": {
    "ekursy-mcp-py": {
      "serverUrl": "http://localhost:6969/mcp"
    }
  }
}

Note: Ensure the MOODLE_API_BASE env variable points to the scraper service instance (e.g. http://localhost:8080 if running ekursy-zero locally/standalone).

Alternative Config (Local stdio Server)

If you prefer to run the server locally using the standard input/output (stdio) transport:

Add the following snippet to your configuration block (make sure to replace C:\\path\\to\\ekursy-mcp-py with the absolute path to your cloned repository, and update the environment variables):

{
  "mcpServers": {
    "ekursy-mcp-py-stdio": {
      "command": "uv",
      "args": [
        "run",
        "src/main.py"
      ],
      "cwd": "C:\\path\\to\\ekursy-mcp-py",
      "env": {
        "MOODLE_USERNAME": "[email protected]",
        "MOODLE_PASSWORD": "your_moodle_password",
        "MOODLE_API_BASE": "http://localhost:8080",
        "MCP_TRANSPORT": "stdio"
      }
    }
  }
}

Note: Ensure the MOODLE_API_BASE env variable points to the scraper service instance (e.g., http://localhost:8080 if running ekursy-zero locally/standalone). The MCP_TRANSPORT is optional and defaults to stdio when running locally.