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@b12/website-generator-mcp-server

@b12/website-generator-mcp-server

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github.com/b12ioDeveloper Tools4Updated 65w ago
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About @b12/website-generator-mcp-server

@b12/website-generator-mcp-server is B12's MCP server for generating websites with AI. It can be configured for use with Claude Desktop.

Key features

  1. 01AI-assisted website generation
  2. 02Claude Desktop configuration

Use cases

  1. 01Generating a website through an MCP client
  2. 02Using the server with Claude Desktop

MCP support

The MCP server is configured as a server in Claude Desktop. The README describes it as a website-generation server but does not detail its tools.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "b12": {
      "command": "npx",
      "args": [
        "-y",
        "@b12/website-generator-mcp-server"
      ]
    }
  }
}
Run commandnpx -y @b12/website-generator-mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@b12/website-generator-mcp-server

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

@b12/website-generator-mcp-server

B12's model context protocol server for generating websites with AI

Website Generator MCP server

Usage with Claude Desktop

Prerequisites
  • NodeJS
  • MCP Client (like Claude Desktop App)
Installation

To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:

{
    "mcpServers": {
        "b12": {
            "command": "npx",
            "args": ["-y", "@b12/website-generator-mcp-server"]
        }
    }
}

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.