This project is developed for educational purposes. The server aims to simplify interactions with the Advent of Code website and enhance the
This project is developed for educational purposes. The server aims to simplify interactions with the Advent of Code website and enhance the puzzle-solving workflow.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| Parameters | int year, int day |
| Returns | input text as an embedded resource |
{
"mcpServers": {
"aoc": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"SESSION_COOKIE",
"ghcr.io/mazharenko/aoc-mcp"
],
"env": {
"SESSION_COOKIE": "<session>"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| SESSION_COOKIE | Declared in the maintainer’s client configuration. | Check documentation |
Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite
A model context protocol server that connects to Anki through AnkiConnect
A Model Context Protocol (MCP) server that enables LLMs to interact with Anki flashcard software through AnkiConnect.
This MCP server defines some concrete tools for key requests to manipulate the notes while keeping the base RPC request for arbitrary calls.
Anki MCP server for flashcard management