ServerChan

ServerChan is a friendly, AI-powered helper for Minecraft servers. It listens to chat, reacts to in-game events, and can even carry out commands when you give it permission. Whether you run a cozy SMP or a busy public server, ServerChan keeps conversations lively without spamming players.

Features

• AI Chat Integration - Uses OpenAI-compatible APIs (OpenAI, Azure, local LLMs, etc.) to power intelligent conversations
• Smart Response System - Optional intention checker determines when the AI should respond, avoiding spam
• Game Event Awareness - Reacts to player joins/leaves, deaths, and other server events
• Command Execution - AI can execute Minecraft commands via function calling (with permission controls)
• Multi-Loader Support - Works on Fabric, Forge, NeoForge, and Spigot/Paper
• Multi-Version Support - Compatible with Minecraft 1.12 - 1.21
• Fully Configurable - Customize prompts, models, response behavior, and more
• Internationalization - Built-in i18n support (English, Chinese, Japanese)

Loader Compatibility Matrix

— means the loader didn't exist for that version (Fabric starts at 1.14, NeoForge at 1.20).

Installation

You're just five steps away from a chatty server buddy:

1. Grab the jar that matches your loader from Modrinth or CurseForge
2. Drop it into the mods/ folder (or plugins/ for Spigot/Paper)
3. Launch the server once so the config file appears
4. Add your API key plus any tweaks you want (see Configuration)
5. Restart or /reload and start chatting

Configuration

The config file lives at:

• Fabric/Forge/NeoForge: config/serverchan.yaml
• Spigot: plugins/ServerChan/config.yml

Required Settings

Optional Settings

Intention Checker Settings

The intention checker uses a smaller/faster model to decide if the AI should respond.

Event Settings

Permission Settings

Custom Prompts

You can customize the system prompts to match the vibe of your server:

• intentionCheckingSystemMessage - Controls when AI decides to respond
• responseGenerationSystemMessage - Controls AI personality and behavior

Example Prompts

Sample prompt files live in the example/ folder to help you get started. For instance, example/OnlyMyRedstone-system-prompt.txt captures the full response-generation setup used on the OnlyMyRedstone community server, and example/OnlyMyRedstone-intention-checking.txt shows how that server throttles responses through intention checking. Feel free to duplicate and adapt these files for your own servers — they're meant to be remixed.

Commands

All commands require operator permissions (level 4).

How It Works

1. Player sends a message in chat
2. Intention Checker (if enabled) evaluates if a response is appropriate
3. If response is needed, the main model generates a reply
4. The AI can optionally execute commands via function calling
5. Response is broadcast to all players

The AI maintains conversation context and can reference previous messages within the configured context size.

Requirements

• Minecraft Server 1.12 - 1.21 (see compatibility matrix)
• One of: Fabric, Forge, NeoForge, or Spigot/Paper (availability varies by version)
• OpenAI API key (or compatible provider like Azure OpenAI, Ollama, etc.)

Building from Source

# Clone the repository
git clone https://github.com/himekifee/ServerChan.git
cd ServerChan

# Build for a specific Minecraft version
./gradlew build -PmcVer=1.21

# Build merged jar (all loaders in one)
./gradlew build mergeJars -PmcVer=1.21

Built jars will be in build/libs/ (or build/forgix/ for merged jars).

Development Testing

For local development, a test script is provided that builds the mod and spins up actual Minecraft servers to verify it loads correctly:

# Build and test on all platforms (requires Docker)
./dev-test.sh 1.21

# Build only, skip server tests
./dev-test.sh --build-only 1.21

# Test specific platform only
./dev-test.sh --fabric 1.21
./dev-test.sh --forge 1.21
./dev-test.sh --neoforge 1.21
./dev-test.sh --paper 1.21

The script requires Docker to run the server tests.

Contributing

Contributions are welcome! Please feel free to submit issues and pull requests; we love hearing how you're using ServerChan.

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

Acknowledgments

• Built on Universal Mod Template by thebuildcraft
• Uses ConfigLib for YAML configuration
• Uses Architectury Loom, Forgix, and Manifold

Cerebras

Not sponsored by Cerebras, but I use their inference API for CI testing and my own server's intention checker model — it's blazingly fast! With a context of 20 messages, intention checking finishes within ~1 second, and full responses come back in about 2-5 seconds. That's basically instant compared to other LLM providers that often need 20+ seconds to reply, making Cerebras a perfect fit for real-time chat applications like this. If anyone from Cerebras is interested in sponsoring API credits or any other form of support, feel free to open an issue 😊

ServerChan

ServerChan is a friendly, AI-powered helper for Minecraft servers. It listens to chat, reacts to in-game events, and can even carry out commands when you give it permission. Whether you run a cozy SMP or a busy public server, ServerChan keeps conversations lively without spamming players.

Features

• AI Chat Integration - Uses OpenAI-compatible APIs (OpenAI, Azure, local LLMs, etc.) to power intelligent conversations
• Smart Response System - Optional intention checker determines when the AI should respond, avoiding spam
• Game Event Awareness - Reacts to player joins/leaves, deaths, and other server events
• Command Execution - AI can execute Minecraft commands via function calling (with permission controls)
• Multi-Loader Support - Works on Fabric, Forge, NeoForge, and Spigot/Paper
• Multi-Version Support - Compatible with Minecraft 1.12 - 1.21
• Fully Configurable - Customize prompts, models, response behavior, and more
• Internationalization - Built-in i18n support (English, Chinese, Japanese)

Demo

Loader Compatibility Matrix

— means the loader didn't exist for that version (Fabric starts at 1.14, NeoForge at 1.20).

Installation

You're just five steps away from a chatty server buddy:

1. Grab the jar that matches your loader from Modrinth or CurseForge
2. Drop it into the mods/ folder (or plugins/ for Spigot/Paper)
3. Launch the server once so the config file appears
4. Add your API key plus any tweaks you want (see Configuration)
5. Restart or /reload and start chatting

Configuration

The config file lives at:

• Fabric/Forge/NeoForge: config/serverchan.yaml
• Spigot: plugins/ServerChan/config.yml

Required Settings

Optional Settings

Intention Checker Settings

The intention checker uses a smaller/faster model to decide if the AI should respond.

Event Settings

Permission Settings

Custom Prompts

You can customize the system prompts to match the vibe of your server:

• intentionCheckingSystemMessage - Controls when AI decides to respond
• responseGenerationSystemMessage - Controls AI personality and behavior

Example Prompts

Sample prompt files live in the example/ folder to help you get started. For instance, example/OnlyMyRedstone-system-prompt.txt captures the full response-generation setup used on the OnlyMyRedstone community server, and example/OnlyMyRedstone-intention-checking.txt shows how that server throttles responses through intention checking. Feel free to duplicate and adapt these files for your own servers — they're meant to be remixed.

Commands

All commands require operator permissions (level 4).

How It Works

1. Player sends a message in chat
2. Intention Checker (if enabled) evaluates if a response is appropriate
3. If response is needed, the main model generates a reply
4. The AI can optionally execute commands via function calling
5. Response is broadcast to all players

The AI maintains conversation context and can reference previous messages within the configured context size.

Requirements

• Minecraft Server 1.12 - 1.21 (see compatibility matrix)
• One of: Fabric, Forge, NeoForge, or Spigot/Paper (availability varies by version)
• OpenAI API key (or compatible provider like Azure OpenAI, Ollama, etc.)

Building from Source

# Clone the repository
git clone https://github.com/himekifee/ServerChan.git
cd ServerChan

# Build for a specific Minecraft version
./gradlew build -PmcVer=1.21

# Build merged jar (all loaders in one)
./gradlew build mergeJars -PmcVer=1.21

Built jars will be in build/libs/ (or build/forgix/ for merged jars).

Development Testing

For local development, a test script is provided that builds the mod and spins up actual Minecraft servers to verify it loads correctly:

# Build and test on all platforms (requires Docker)
./dev-test.sh 1.21

# Build only, skip server tests
./dev-test.sh --build-only 1.21

# Test specific platform only
./dev-test.sh --fabric 1.21
./dev-test.sh --forge 1.21
./dev-test.sh --neoforge 1.21
./dev-test.sh --paper 1.21

The script requires Docker to run the server tests.

Contributing

Contributions are welcome! Please feel free to submit issues and pull requests; we love hearing how you're using ServerChan.

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Discord

Join our Discord server to chat with the community, get help, or share your ServerChan setup!

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

Acknowledgments

• Built on Universal Mod Template by thebuildcraft
• Uses ConfigLib for YAML configuration
• Uses Architectury Loom, Forgix, and Manifold

Cerebras

Not sponsored by Cerebras, but I use their inference API for CI testing and my own server's intention checker model — it's blazingly fast! With a context of 20 messages, intention checking finishes within ~1 second, and full responses come back in about 2-5 seconds. That's basically instant compared to other LLM providers that often need 20+ seconds to reply, making Cerebras a perfect fit for real-time chat applications like this. If anyone from Cerebras is interested in sponsoring API credits or any other form of support, feel free to open an issue 😊