Advent of Code MCP

A Mission Control Protocol (MCP) tool for fetching Advent of Code puzzle content and inputs. This tool can be integrated into any MCP-compatible environment (like Cursor) to fetch puzzle descriptions and inputs directly from Advent of Code.

Setup

1. Clone the repository:

git clone https://github.com/danielbrowning/aoc-mcp.git
cd aoc-mcp

2. Install uv (if not already installed):

pip install uv  # or brew install uv on macOS

3. Create a virtual environment and install dependencies:

uv venv
source .venv/bin/activate  # On Windows, use: .venv\Scripts\activate
uv pip sync

4. Get your Advent of Code session cookie:

   1. Log in to Advent of Code
   2. Open your browser's developer tools (F12)
   3. Go to the Network tab
   4. Refresh the page
   5. Click on any request to adventofcode.com
   6. In the request headers, find the 'Cookie' header
   7. Copy the value after 'session=' - this is your session cookie

5. Configure in Cursor:

   • Open Cursor's settings
   • Add the following MCP configuration, replacing the placeholders:

   uv --directory /path/to/aoc-mcp/aoc_mcp run server.py -- --session-cookie "your_session_cookie_here"
   

   For example, if you cloned the repo to /home/user/aoc-mcp, your command would be:

   uv --directory /home/user/aoc-mcp/aoc_mcp run server.py -- --session-cookie "abcd1234..."
   

   Note: The -- is important! It separates uv's arguments from the arguments passed to the Python script.

You can also optionally create a .env file in the root directory with your session cookie for local development:

AOC_SESSION_COOKIE=your_session_cookie_here

Using as an MCP Tool

This tool provides a single MCP function that can be used in MCP-compatible environments:

get_puzzle

Fetches the puzzle description and input for a specific Advent of Code day.

Parameters:

• year: Year of the puzzle (2015-2024)
• day: Day of the puzzle (1-25)

Returns:

{
    "year": 2023,
    "day": 1,
    "parts": ["Part 1 description", "Part 2 description"],
    "input": "puzzle input..."
}

Example Usage in an MCP Environment

result = await mcp.invoke("get_puzzle", {
    "year": 2023,
    "day": 1
})

# Access the puzzle parts and input
part1_description = result["parts"][0]
part2_description = result["parts"][1]
puzzle_input = result["input"]

Running the Server

To run the MCP server (typically not needed for integration):

python -m aoc_mcp.server

The server will start in stdio mode for MCP communication.

Notes

• Keep your session cookie private and never commit it to version control
• The tool validates year and day parameters to ensure they're within valid ranges (2015-2024 for year, 1-25 for day)
• If a puzzle is not yet available, the tool will return an appropriate error message
• Invalid session cookies will be detected and reported with clear error messages