KoboldCpp ​

KoboldCpp is a self-contained AI text generation backend built for creative and interactive writing. It runs GGUF and GGML models efficiently on CPU and GPU, with a web UI optimized for long-form generation — story mode, adventure mode, instruct mode, and chat mode. MCP tools bring factual data into the creative process.

Kb
KoboldCpp
Open-Source · github.com/LostRuins
TRANSPORT
Streamable HTTP ✓
PLATFORM
Windows · macOS · Linux
MCP VIA
API / Config

Creative Writing with Real-World Data ​

KoboldCpp's strength is long-form text generation with fine-grained control. Temperature, top-k, repetition penalty, and mirostat are all adjustable per generation. LoRA adapters let you load fine-tuned model modifications for specific writing styles.

MCP adds research capability to the creative process. Instead of writing from pure imagination, a model can query real data — historical facts, scientific papers, product specs — through MCP tools while generating narrative content.

Features:

  • Story mode — continuous narrative generation with memory management
  • Instruct mode — prompt-response format for specific tasks
  • LoRA support — load fine-tuned adapters without redownloading models
  • GGUF/GGML — optimized quantized model formats
  • Context extension — support for extended context through RoPE scaling
  • Multimodal — image input support with vision models
  • Self-contained — single executable, no dependencies or installation

Configuration ​

1. Create a Token ​

In Vinkius Cloud, go to your server → Connection Tokens → Create. Copy the URL.

2. Launch with MCP ​

Configure MCP in KoboldCpp's API settings or through the launch parameters:

bash
koboldcpp --model your-model.gguf --port 5001

Connect to the MCP server through the API or compatible frontend.

3. Generate with Data ​

Use instruct mode to ask questions that require real data. MCP tools provide the facts while the model handles the language.

FAQ ​

Is KoboldCpp just for creative writing? No. While optimized for creative text generation, instruct mode and chat mode work well for general AI tasks alongside MCP tools.

Does LoRA work with MCP? Yes. Load a LoRA adapter for a specific writing style and use MCP tools for factual grounding. The combination produces stylistically consistent, factually accurate content.

What hardware does KoboldCpp need? CPU-only is supported (slower). GPU acceleration via CUDA, Vulkan, or Metal provides significantly faster generation.

Is KoboldCpp free? Open-source under AGPL. Free for personal and commercial use.