MCP CONNECT 4

@tolios

About MCP CONNECT 4

MCP for connect 4

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "connect4": {
      "command": "absolute path to uv",
      "args": [
        "--directory",
        "absolute path to this repo",
        "run",
        "main.py"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP CONNECT 4?

MCP Connect 4 is an MCP server that lets a user and an AI assistant play a game of Connect 4. The assistant controls the game state and makes moves for both itself and the user, enabling turn‑based gameplay through an LLM client.

How to use MCP CONNECT 4?

Clone the repository and add a JSON entry to your Claude (or compatible client) configuration. The entry must specify the absolute path to uv as the command, the repository directory with --directory, and run main.py as the arguments. After configuration, the assistant can start a Connect 4 game using the provided tools.

Key features of MCP CONNECT 4

Provides structured game state for Connect 4
Assistant plays moves for both players
Simple setup with uv and a local Python script
Game progress visible in the LLM chat’s tool calls
Lightweight, single‑purpose implementation

Use cases of MCP CONNECT 4

Playing a casual game of Connect 4 with an AI assistant
Demonstrating how MCP can support turn‑based game interactions
Experimenting with AI‑driven gameplay and move evaluation
Having fun while exploring MCP’s extensibility

FAQ from MCP CONNECT 4

Does the assistant play both sides?

Yes. The assistant plays the move it believes is best and also plays your move. The README notes this may be considered a criticism.

How do I view the current board?

You can see the board by reading the tool call output in the LLM provider’s chat interface

Frequently asked questions

Does the assistant play both sides?

Yes. The assistant plays the move it believes is best and also plays your move. The README notes this may be considered a criticism.

How do I view the current board?

You can see the board by reading the tool call output in the LLM provider’s chat interface

Comments

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