Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

Smart Conversion Debugging Server

БесплатноНе проверен

Helps debug conversion tracking issues across GoHighLevel, Meta CAPI, webhooks, and GTM by providing tools to fetch events, contacts, logs, and perform full ana

GitHubEmbed

Описание

Helps debug conversion tracking issues across GoHighLevel, Meta CAPI, webhooks, and GTM by providing tools to fetch events, contacts, logs, and perform full analysis.

README

An MCP server that helps debug conversion tracking issues across GoHighLevel, Meta CAPI, webhooks, and GTM.

Quick Start

# Install dependencies
npm install

# Test tools locally
node test.js

# Run interactive CLI agent
node agent.js

# Start MCP server (for AI client connections)
node index.js

Available Tools

Tool Description
getWebhookEvents Returns stored webhook events
getGHLContacts Fetch contacts from GoHighLevel
getMetaEvents Returns Meta CAPI tracked events
getGTMEvents Returns frontend GTM events
getSystemLogs Returns error logs
debugConversion Full analysis with issues + fixes

Connecting to MCP Clients

1. Claude Desktop

Edit your Claude Desktop config file:

Windows: %APPDATA%\Claude\claude_desktop_config.json

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "conversion-debugger": {
      "command": "node",
      "args": ["D:/first mcp server/index.js"],
      "env": {
        "USE_MOCK_DATA": "true"
      }
    }
  }
}

Restart Claude Desktop after saving. You'll see the tools available in the chat.


2. VS Code with GitHub Copilot

Add to your VS Code settings.json or workspace settings:

{
  "github.copilot.chat.mcpServers": {
    "conversion-debugger": {
      "command": "node",
      "args": ["D:/first mcp server/index.js"],
      "env": {
        "USE_MOCK_DATA": "true"
      }
    }
  }
}

Or create .vscode/mcp.json in your workspace:

{
  "servers": {
    "conversion-debugger": {
      "command": "node",
      "args": ["${workspaceFolder}/index.js"],
      "env": {
        "USE_MOCK_DATA": "true"
      }
    }
  }
}

3. Cursor IDE

Add to Cursor settings (~/.cursor/mcp.json or project .cursor/mcp.json):

{
  "mcpServers": {
    "conversion-debugger": {
      "command": "node",
      "args": ["D:/first mcp server/index.js"],
      "env": {
        "USE_MOCK_DATA": "true"
      }
    }
  }
}

4. Continue.dev

Add to your Continue config (~/.continue/config.json):

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "type": "stdio",
          "command": "node",
          "args": ["D:/first mcp server/index.js"]
        }
      }
    ]
  }
}

5. Custom MCP Client (Node.js)

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";
import { spawn } from "child_process";

const transport = new StdioClientTransport({
  command: "node",
  args: ["D:/first mcp server/index.js"],
});

const client = new Client({ name: "my-client", version: "1.0.0" });
await client.connect(transport);

// List available tools
const tools = await client.listTools();
console.log(tools);

// Call a tool
const result = await client.callTool({
  name: "debugConversion",
  arguments: {},
});
console.log(result);

await client.close();

Environment Variables

Copy .env.example to .env and configure:

# Use mock data (set to false for live API calls)
USE_MOCK_DATA=true

# GoHighLevel
GHL_API_KEY=your_api_key
GHL_LOCATION_ID=your_location_id

# Meta CAPI
META_ACCESS_TOKEN=your_access_token
META_PIXEL_ID=your_pixel_id

Example AI Prompts

Once connected to an MCP client, try these prompts:

  1. "Debug my conversion tracking"

    • The AI will call debugConversion and explain the issues
  2. "Show me all GHL contacts from today"

    • Calls getGHLContacts with date filters
  3. "Compare webhook events with Meta events"

    • Calls multiple tools and cross-references data
  4. "Why are some conversions not reaching Meta?"

    • Full debugging workflow with root cause analysis

Project Structure

first mcp server/
├── index.js              # MCP server entry point
├── agent.js              # Interactive CLI agent
├── test.js               # Tool testing script
├── package.json
├── .env.example
├── config/
│   └── env.js            # Environment configuration
├── clients/
│   ├── httpClient.js     # HTTP utilities
│   ├── ghlClient.js      # GoHighLevel API client
│   └── metaClient.js     # Meta CAPI client
├── data/
│   ├── mockData.js       # Mock data for testing
│   └── dataProvider.js   # Live/mock data switching
└── tools/
    ├── utils.js
    ├── getWebhookEvents.js
    ├── getGHLContacts.js
    ├── getMetaEvents.js
    ├── getGTMEvents.js
    ├── getSystemLogs.js
    └── debugConversion.js

from github.com/MuhammadRaza-dev713/Tracking-MCP-Server

Установка Smart Conversion Debugging Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/MuhammadRaza-dev713/Tracking-MCP-Server

FAQ

Smart Conversion Debugging Server MCP бесплатный?

Да, Smart Conversion Debugging Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Smart Conversion Debugging Server?

Нет, Smart Conversion Debugging Server работает без API-ключей и переменных окружения.

Smart Conversion Debugging Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Smart Conversion Debugging Server в Claude Desktop, Claude Code или Cursor?

Открой Smart Conversion Debugging Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare Smart Conversion Debugging Server with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории development