# ReportDash DataStore

> Use this tool when you need to unify and query data from multiple advertising and analytics platforms, such as Facebook Ads, Google Ads, and LinkedIn, to gain insights and make data-driven decisions. The ReportDash DataStore provides a standardized interface for AI assistants to access and retrieve data from connected platforms. It accepts queries as input and returns aggregated data as output, making it ideal for use cases that require centralized data management and analysis.

Canonical page: https://skillsregistry.net/skills/reportdash-datastore  
JSON: https://api.skillsregistry.net/v1/skills/reportdash-datastore

## Description

The ReportDash Datastore MCP (Model Context Protocol) server provides a standardized interface for AI assistants to query your connected advertising and analytics platforms including Facebook Ads, Google Ads, Instagram, LinkedIn, TikTok, and more.

## 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:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ReportDash/DataStore)

## 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": "reportdash-datastore"
    }
  }
}
```

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