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MCLLM
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A mod for using LLM in Minecraft
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Runs entirely on the client. Works on vanilla servers.
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MCLLM
If you like this project, please consider giving it a ⭐ on GitHub!
This is a fork of MCChatGPT.
Unlike the original, the base URI is no longer hardcoded—you can now configure it via a file, making it compatible with nearly any LLM service, not just OpenAI.
How to Use
Download the JAR file compatible with your Minecraft version from GitHub or here, and place it in your
modsfolder.
(Make sure the appropriate mod loader is installed.)Download the required dependencies from the same source and also place them in the
modsfolder.- Supported platforms: Fabric (>= 1.20.1), Forge (1.19.4–1.20.1), and NeoForge (>= 1.21.1)
Launch the game once to generate the configuration file.
Open
config/mcllm.jsonand edit the following fields:baseurl: Set this to the endpoint of your preferred LLM service, e.g.https://api.deepseek.com/v1model: Specify the model name, e.g.deepseek-chat
Re-launch the game, then run:
/mcllm-auth YourToken
This securely stores your token (it will be encrypted in the config file).Use
/ask YourQuestionto send a message to the LLM.
The LLM’s reply will appear in your local chat—only you can see it.

MCLLM
If you like this project, please consider giving it a ⭐ on GitHub!
This is a fork of MCChatGPT.
Unlike the original, the base URI is no longer hardcoded—you can now configure it via a file, making it compatible with nearly any LLM service, not just OpenAI.
How to Use
-
Download the JAR file compatible with your Minecraft version from Modrinth or GitHub, and place it in your
modsfolder.
(Make sure the appropriate mod loader is installed.) -
Download the required dependencies from the same source and also place them in the
modsfolder.
(They are usually listed on the Modrinth.)- Supported platforms: Fabric (>= 1.20.1), Forge (1.19.4–1.20.1), and NeoForge (>= 1.21.1)
-
Launch the game once to generate the configuration file.
-
Open
config/mcllm.jsonand edit the following fields:baseurl: Set this to the endpoint of your preferred LLM service, e.g.https://api.deepseek.com/v1model: Specify the model name, e.g.deepseek-chat
-
Re-launch the game, then run:
/mcllm-auth YourToken
This securely stores your token (it will be encrypted in the config file). -
Use
/ask YourQuestionto send a message to the LLM.
The LLM’s reply will appear in your local chat—only you can see it.

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