Blossom

This application allows you to use generative AI to create an easy to visualize project plan.

There is no built-in chat window or LLM: the backend exposes an MCP (Model Context Protocol) server, and you collaborate on the plan through an external chat application (e.g. Claude Desktop) connected to it. The web UI visualizes the roadmap live and picks up the LLM's edits automatically.

Setup Environment

brew install node
npm install --global yarn

Related MCP server: Gorev Task Management Server

Installation

To install this package, run the following in the root directory of the repo:

yarn install

Environment Configuration

Backend Configuration

Create a .env file in the packages/backend directory with the following:

PORT=3030

• PORT - The port the backend server will run on (defaults to 3030 if not set)

Frontend Configuration

The frontend uses environment files in packages/frontend:

• .env.development - Development configuration

• .env.production - Production configuration

• .env.example - Template file

The frontend will automatically use the correct environment file based on whether you're running in development (yarn start) or building for production (yarn build).

GitHub Codespaces

If you are working in GitHub Codespaces, ensure that the port visibility for the backend is set to public. This allows the frontend to communicate with the backend server.

Adding New Dependencies

To add new dependencies for a specific package, use:

yarn workspace @blossom/<package-name> add <dependency-name>

For example, to add a development dependency to the @blossom/backend package:

yarn workspace @blossom/backend add domexception --dev

To install a dependency across all packages, run the following in the root directory:

yarn add <dependency-name>

This will add the dependency to all packages in the monorepo.

Running Application in Development Environment

Ensure you have created the .env file in the backend directory as described in the Environment Configuration section above.

Then run:

yarn start

Connecting a Chat Application via MCP

The backend serves an MCP server at http://localhost:3030/mcp (Streamable HTTP). Any MCP-capable chat app can connect and collaborate on your project plan — adding tasks and dependencies, and managing the inbox. Saving, opening, and creating projects stay user-only in the web UI. The web UI polls for changes and updates within a few seconds.

For Claude Desktop, add this to claude_desktop_config.json (uses the mcp-remote proxy):

{
    "mcpServers": {
        "blossom": {
            "command": "npx",
            "args": ["mcp-remote", "http://localhost:3030/mcp"]
        }
    }
}

Make sure yarn start is running, then restart Claude Desktop and ask it e.g. "Add the tasks for launching my website to my blossom roadmap."

For Claude Code, register the server once at user scope so it is available from any directory (it speaks Streamable HTTP directly, so no proxy is needed):

claude mcp add --scope user --transport http blossom http://localhost:3030/mcp

Check the connection with claude mcp list or the /mcp command inside a session.

The full tool list is documented in docs/architecture/api.md.

Understanding the Codebase

For an overview of the architecture, refer to the Architecture folder, starting with the overview