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Meta Ad Intel Server

Meta Ad Intel Server

Remote
apify.comBusiness & Marketing0Updated 7w ago

About Meta Ad Intel Server

Meta Ad Intel Server is an MCP server for ad research that uses Apify to retrieve Meta ads and enrich advertiser details from their pages, including phone, email, website, and follower count. It also includes a skill and no-code templates.

Key features

  1. 01Retrieve Meta ad information
  2. 02Enrich advertiser phone, email, and website
  3. 03Retrieve page follower counts
  4. 04Use the skill and n8n and Make templates

Use cases

  1. 01Research Meta ads and their advertisers
  2. 02Enrich advertiser contact details

MCP support

AI assistants connect through the MCP endpoint in server.json to access Meta ads and advertiser contact information.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.apify.com/?tools=fetch-actor-details,admo-solutions/meta-ads-library-scraper
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Meta Ad Intel Server

MCP server + skill for Meta ads plus advertiser contacts — phone, email, website, followers via page enrichment. Powered by the Apify actor admo-solutions/meta-ads-library-scraper.

Use it

  • AI assistants: connect via the MCP endpoint in server.json.
  • Skill: follow SKILL.md to run it step by step.
  • No-code: free n8n template and Make blueprint included.

Cost

From $5 per 1,000 ads in Apify usage. A 50-ad enriched test costs about $0.30–0.40.

Rating

If it saved you time, please leave a rating on the actor page.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.