Dataslayer
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- social-media
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Dataslayer from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.