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Built with ❤️ by Krishna Goyal

    Kibitz

    The coding agent for professionals for the Model Context Protocol. Enhance AI assistants with powerful integrations. TypeScript-based implementation.

    104 stars
    TypeScript
    Updated Nov 2, 2025
    ai
    anthropic
    claude
    llm
    mcp
    tool-use

    Table of Contents

    • Prerequisites
    • Installation
    • Configuration
    • Building for Kinode

    Table of Contents

    • Prerequisites
    • Installation
    • Configuration
    • Building for Kinode

    Documentation

    kibitz

    The coding agent for professionals

    https://github.com/user-attachments/assets/3f8df448-1c81-4ff2-8598-c48283a4dc00

    Prerequisites

    • git
    • npm

    Installation

    1. Clone the repository:

    bash
    git clone https://github.com/nick1udwig/kibitz.git
    cd kibitz

    2. Install dependencies:

    bash
    npm install

    3. Run the development server:

    bash
    npm run dev

    4. Open http://localhost:3000 in your browser.

    Configuration

    1. Open the Settings panel in the UI

    2. Enter your Anthropic API key (Get one here).

    3. Optionally set a system prompt

    4. Configure MCPs by running them using ws-mcp and then connecting to them in the Settings page

    Note configuration is PER-PROJECT.

    When creating a new project, it will use some, but not all, of the current project's configuration: the API key, model, and system prompt will be copied over, but MCP servers will not.

    Building for Kinode

    1. Add a base to the endpoint by building with the NEXT_PUBLIC_BASE_PATH (MUST start with a /),

    2. Change the default WS-MCP server URI by specifying NEXT_PUBLIC_DEFAULT_WS_URI (MUST start with a /),

    like so:

    bash
    NEXT_PUBLIC_BASE_PATH=/kibitz:kibitz:nick.kino NEXT_PUBLIC_DEFAULT_WS_URI=/fwd-ws:kibitz:nick.kino npm run build

    and then copy the contents of out/ into the package's pkg/ui/ dir.

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