# data_sync_mcp

> Use this tool when you need to optimize data sync workflows and reduce wasted API calls by enabling AI agents to request user feedback during tasks. It solves problems related to audience sync confirmation, DMP verification, and rollback confirmation, providing a seamless interface for feedback requests and verification outputs. Ideal for use cases requiring real-time data validation and synchronization.

Canonical page: https://skillsregistry.net/skills/mengzuqing-data-sync-mcp-main  
JSON: https://api.skillsregistry.net/v1/skills/mengzuqing-data-sync-mcp-main

## Description

MCP server enabling AI agents to request user feedback during tasks, reducing wasted API calls. Optimized for data sync workflows with tools for audience sync confirmation, DMP verification, and rollback confirmation.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/af586ojbtn)
- **Repository:** <https://github.com/Mengzuqing/data_sync_mcp_main>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mengzuqing-data-sync-mcp-main"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mengzuqing-data-sync-mcp-main` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mengzuqing-data-sync-mcp-main/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt