pulsemcp Safe content atomic mcp-remote

Facebook Ads Library

This MCP server provides Meta (Facebook) advertising intelligence through integration with the Scrape Creators API, built using Python with FastMCP and offering two core tools for competitive ad analysis. It enables users to search for brand Meta Platform IDs by company name and retrieve currently running Facebook ads for any brand, returning structured ad data including media URLs, ad copy, and campaign timing information. The implementation uses command-line API key configuration, handles pagination for large ad datasets, and parses multiple ad formats including images, videos, and dynamic creative optimization (DCO) campaigns, making it valuable for competitive research, marketing intelligence workflows, and building AI assistants that need programmatic access to Facebook's public ad library data.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: browser-automation
Source: PulseMCP
Author type: human
Updated: 2026-04-25

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MCP

Resolve Facebook Ads Library 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"