Smart Conversion Debugging Server
БесплатноНе проверенHelps debug conversion tracking issues across GoHighLevel, Meta CAPI, webhooks, and GTM by providing tools to fetch events, contacts, logs, and perform full ana
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:
"Debug my conversion tracking"
- The AI will call
debugConversionand explain the issues
- The AI will call
"Show me all GHL contacts from today"
- Calls
getGHLContactswith date filters
- Calls
"Compare webhook events with Meta events"
- Calls multiple tools and cross-references data
"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
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-ServerFAQ
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
GitHub
PRs, issues, code search, CI status
автор: GitHubFilesystem
Secure file operations with configurable access controls.
Memory
Knowledge graph-based persistent memory system.
Template MCP Server
A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
автор: mcpdotdirectCompare 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
