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Meta Ads MCP

by pipeboard-co

get_interest_suggestions

Generate targeted interest suggestions for Meta Ads campaigns by analyzing existing interests, providing relevant options with audience size and descriptions for optimization.

Instructions

Get interest suggestions based on existing interests. Args: access_token: Meta API access token (optional - will use cached token if not provided) interest_list: List of interest names to get suggestions for (e.g., ["Basketball", "Soccer"]) limit: Maximum number of suggestions to return (default: 25) Returns: JSON string containing suggested interests with id, name, audience_size, and description fields

Input Schema

NameRequiredDescriptionDefault
access_tokenNo
interest_listNo
limitNo

Input Schema (JSON Schema)

{ "properties": { "access_token": { "default": null, "title": "Access Token", "type": "string" }, "interest_list": { "default": null, "items": { "type": "string" }, "title": "Interest List", "type": "array" }, "limit": { "default": 25, "title": "Limit", "type": "integer" } }, "title": "get_interest_suggestionsArguments", "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/pipeboard-co/meta-ads-mcp'

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