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MCP server · Developer Tools

Jaison Core

Configurable response server for Project J.A.I.son

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Scored 6 months ago · breakdown

About Jaison Core

Jaison Core is an MCP server published by limitcantcode in the Developer Tools category: configurable response server for Project J.A.I.son.

The repository has 497 stars and 73 forks, with the last commit 4 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/limitcantcode/jaison-core

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README


About This Project

Project J.A.I.son is a fully customizable AI companion server designed for streaming, private companionship, or building interactive AI applications. Run it entirely locally or leverage cloud services—the choice is yours.

This software uses libraries from the FFmpeg project under the LGPLv2.1.


Key Features

  • Real-time AI Personality - Text and speech input with customizable character prompts
  • MCP Support - Integrate Model Context Protocol servers for extended capabilities
  • REST API & WebSocket Server - Build custom applications on top of the core server
  • Flexible Deployment - Run fully local or use cloud services (Azure, OpenAI, Fish Audio, etc.)
  • Modular Pipeline - Mix and match STT, TTS, LLM, and filter operations

Official Applications

Extend J.A.I.son with these official integrations:

Build your own applications using our Developer Guide!


Quick Start

Prerequisites

  • Conda: Recommended for environment management
  • CUDA Toolkit: Required for NVIDIA GPU acceleration (download here)
  • Windows Users: Enable Developer Mode

Installation

1. Create a virtual environment:

Install PyTorch with the right integration. Example below for computers with RTX graphics card.

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu130

2. Install dependencies:

pip install -r requirements.txt
pip install --no-deps -r requirements.no_deps.txt
python -m spacy download en_core_web_sm
python install.py
python -m unidic download

3. Install PyTorch:

For NVIDIA GPUs:

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128

Note: If you encounter libiomp5md.dll duplicate errors on Windows:

  1. Navigate to your conda environment's package directory
  2. Search for libiomp5md.dll
  3. Delete the version under the torch package folder

4. Install FFmpeg:

  • Ubuntu/Debian:
    sudo apt install ffmpeg
    
  • macOS:
    brew install ffmpeg
    
  • Windows:
    1. Download ffmpeg-git-essentials.7z
    2. Extract and copy all files from bin/ to the project root directory

5. Configure your setup:

  1. Copy .env-template to .env and add your API keys for the services you plan to use.

    cp .env-template .env
    

    If running everything locally, you may leave the keys blank:

    OPENAI_API_KEY=
    FISH_API_KEY=
    AZURE_REGION=
    AZURE_API_KEY=
    
  2. Create new text files under prompts\characters, prompts\instructions, and prompts\scenes, as required. Describe the character/instruction/scene as you'd like. Remember that you can create as many as you'd like and easily switch between them. An example for each is provided.

  3. Copy configs\example.yaml to configs\config.yaml (you can name it whatever you'd like). This is the name you'll use when running the main server! Select the desired operations (refer to Development Guide) and set the desired prompt filenames to the ones you created in Step 2:

    prompter:
    instruction_prompt_filename: 'example.txt'
    character_prompt_filename: 'example.txt'
    scene_prompt_filename: 'example.txt'
    

See the Development Guide for detailed configuration instructions, including:

  • Setting up local services (KoboldCPP, MeloTTS, RVC)
  • Configuring cloud providers (Azure, OpenAI, Fish Audio)
  • Customizing prompts and operations
  • Choosing the right services for your use case

Running the Server

python ./src/main.py --config={config_filename}

# Example for configs/example.yaml
python ./src/main.py --config=example

# Example for configs/config.yaml
python ./src/main.py --config=config

For all available options:

python ./src/main.py --help

Developer Guide

Build applications, create custom integrations, or extend J.A.I.son:


Community

Join the community and get help:

  • Discord - Project discussions and support
  • YouTube - Tutorials and showcases
  • Twitch - Live development streams

Contributors

Thank you to everyone who has contributed to Project J.A.I.son!

Become a contributor


License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Jaison Core

How do I install Jaison Core?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Jaison Core safe to use with an AI agent?

Its trust score is 52 out of 100 (fair). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Jaison Core still maintained?

Yes — the last commit was 4 months ago. The repository has 497 stars and 73 forks.