AI Tag Debugger MCP Server

by analitikislerio.github.analitikisler/ai-tag-debuggerv0.16.0

Open-source AI agent that QA-tests your website's analytics, ad and consent tracking (GA4, GTM, Google Ads, Meta, TikTok). Bring your own model (Claude, OpenAI, Gemini) or use it from your chat app over MCP.

1Node.jsstdioofficial registry

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of AI Tag Debugger, from the data

AI Tag Debugger is a ai & llm tools MCP server from analitikisler, listed in the official MCP Registry.

We haven't measured its tool list yet, so its token cost is unknown.

With 1 GitHub stars it ranks #978 of 3,169 ai & llm tools servers we index.

It runs locally on your machine over stdio.

Install AI Tag Debugger MCP server

claude mcp add ai-tag-debugger -- npx -y @analitikisler/ai-tag-debugger mcp

{
  "mcpServers": {
    "ai-tag-debugger": {
      "command": "npx",
      "args": [
        "-y",
        "@analitikisler/ai-tag-debugger",
        "mcp"
      ]
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).

{
  "mcpServers": {
    "ai-tag-debugger": {
      "command": "npx",
      "args": [
        "-y",
        "@analitikisler/ai-tag-debugger",
        "mcp"
      ]
    }
  }
}

Settings → Developer → Edit Config (claude_desktop_config.json), then restart.

{
  "servers": {
    "ai-tag-debugger": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@analitikisler/ai-tag-debugger",
        "mcp"
      ]
    }
  }
}

Add to .vscode/mcp.json in your workspace.

{
  "mcpServers": {
    "ai-tag-debugger": {
      "command": "npx",
      "args": [
        "-y",
        "@analitikisler/ai-tag-debugger",
        "mcp"
      ]
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

Freshness

Not enough public signals yet to judge maintenance.

Last commit (default branch)
2026-10-17 · 1d ago · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-10-17 · 1d ago · official registry · v0.16.0

How it compares in AI & LLM Tools

Against the most-starred ai & llm tools servers we index. Token cost is per model turn, measured from each server's live tool list.

Server	Stars	Tools	Tokens / turn	Freshness	Runs
AI Tag Debugger (this)	1	—	not measured	—	local
Memory	91,356	—	not measured	Active	local
Claude Flow	76,638	—	not measured	Active	local
Next AI Draw.io	36,318	—	not measured	—	local
Serena Agent	30,371	—	not measured	Active	local
Trycua	30,160	—	not measured	Active	—

All ai & llm tools MCP servers

FAQ

›How do I install the AI Tag Debugger MCP server in Claude Code?

Run: claude mcp add ai-tag-debugger -- npx -y @analitikisler/ai-tag-debugger mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does AI Tag Debugger require an API key?

No required environment variables are declared in its published metadata.

›Can I use AI Tag Debugger as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is AI Tag Debugger in the official MCP registry?

Yes, as io.github.analitikisler/ai-tag-debugger.

Sources and method

Official MCP Registry entry: updated 2026-10-17
GitHub repository: fetched 2026-10-19
Package registry (npm / PyPI): listed
Last checked against all sources: 2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.