AIReady MCP Server

The AIReady MCP Server provides an integration point for AI agents (like Claude Desktop, Cursor, Windsurf, etc.) to assess AI-readiness and improve AI leverage directly within their conversational interfaces using the Model Context Protocol (MCP).

Installation & Distribution Channels

You can install and use the AIReady MCP server through several supported channels.

1. Dedicated MCP Registries

• Smithery: Discover and install our server directly via the Smithery CLI:

  npx @smithery/cli install @aiready/mcp-server

• Glama: View our listing and integration options on the Glama directory.
• Pulsar: Find us on the Pulsar registry for MCP servers.

2. Direct IDE / Assistant Integrations

Claude Desktop App

To use the AIReady MCP server in the Claude Desktop app, add the following configuration to your claude_desktop_config.json:

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

Cursor IDE

1. Open Cursor Settings.
2. Navigate to Features -> MCP Servers.
3. Add a new server.
4. Set the command to: npx -y @aiready/mcp-server

Windsurf IDE

1. Open Windsurf Settings or local environment configuration.
2. Add a new MCP Server integration.
3. Configure the execution command: npx -y @aiready/mcp-server

3. Containerized Distribution (Docker)

If you prefer running MCP servers in isolated environments, you can use our Docker image:

docker run -i --rm ghcr.io/caopengau/aiready-mcp-server

(Note: Docker image distribution is currently being set up. Use the command above once published.)

4. Existing AIReady Channels

We are also integrating the MCP server with our existing distribution methods:

• Homebrew: brew install aiready-mcp (Coming soon)
• VS Code Extension: Bundled within the AIReady extension for editor-native AI chats. (Coming soon)

Quick Start

To test the server locally, you can run:

npx @aiready/mcp-server

For more details on AIReady, visit getaiready.dev.