# Dataslayer

> Use this tool when you need to integrate and analyze data from multiple marketing and analytics sources, such as social media ads and website traffic, to inform business decisions or generate reports. Dataslayer provides a secure interface for AI agents to query and retrieve data from various platforms, including Google Ads and Facebook Ads, and returns normalized tables for easy analysis. It solves problems related to data discovery, validation, and querying, and is ideal for use cases involving data analysis, QA, and report generation.

Canonical page: https://skillsregistry.net/skills/dataslayer  
JSON: https://api.skillsregistry.net/v1/skills/dataslayer

## Description

Dataslayer MCP lets ChatGPT, Claude, and Mistral securely discover and query all your marketing and analytics sources connected to Dataslayer. The server exposes tools to list datasources, accounts, and fields; validate metrics, dimensions, filters, and attribution windows; and run queries that return ready-to-use tables. It covers major ad and analytics platforms, including Meta/Facebook Ads, Google Ads, Google Analytics 4, Google Search Console, Microsoft Advertising (Bing), TikTok Ads, LinkedIn Ads, X/Twitter Ads, Pinterest Ads, Snapchat Ads, Amazon Ads, and more. With natural-language instructions, models can ask for, e.g., spend, clicks, CTR, and ROAS by campaign for the last 30 days with 7-day click attribution, and the MCP translates that into a valid, paginated, credential-aware request that respects rate limits and handles errors gracefully. Results are returned as normalized tables that your agents can use directly for analysis, data QA, or report generation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dataslayer)

## 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": "dataslayer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dataslayer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dataslayer/pull`

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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