waikay-mcp 0.2.0

MCP server for the Waikay brand visibility API

waikay-mcp

An MCP (Model Context Protocol) server for the Waikay brand visibility API. Built by DixonJones. Lets Claude and other MCP-compatible AI assistants query your brand's visibility across ChatGPT, Claude, Gemini, and Sonar (Perplexity) directly in conversation.

Requirements

• Python 3.10+
• A Waikay account on Level 2 or above ($69.95/month)
• Your Waikay API key (from account settings)

Installation

pip install waikay-mcp

Configuration

Add to your Claude Code settings.json (~/.claude/settings.json):

{
  "mcpServers": {
    "waikay": {
      "command": "python",
      "args": ["-m", "waikay_mcp"],
      "env": {
        "WAIKAY_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available Tools

Tool	Description
list_projects	List all tracked projects with their IDs
get_overview	Brand mention counts by AI model — 7-day window
get_rankings	Share of voice and competitive positioning — 30-day window
get_sources	Citation and URL analysis across AI models — 30-day window
get_scores	AI knowledge scores by model and date — 365-day window
list_prompts	List all tracked prompts for a project
create_prompt	Create a new tracked prompt
update_prompt	Update models, frequency, audience, or active status
delete_prompt	Soft-delete a tracked prompt

The tracking tools (get_overview, get_rankings, get_sources) accept an optional prompt_id to drill down to a specific prompt rather than project-level aggregates.

Example usage

Once configured, ask Claude things like:

• "List my Waikay projects"
• "What's my brand's share of voice on ChatGPT vs Claude this month?"
• "Which URLs are being cited for my brand in Gemini?"
• "Show me my AI knowledge scores over the past year"

License

MIT