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Meta Ads MCP

by pipeboard-co

search_interests

Identify relevant interest targeting options for Meta Ads campaigns by keyword search. Retrieve interest data including ID, name, audience size, and path in JSON format to optimize ad targeting strategies.

Instructions

Search for interest targeting options by keyword. Args: access_token: Meta API access token (optional - will use cached token if not provided) query: Search term for interests (e.g., "baseball", "cooking", "travel") limit: Maximum number of results to return (default: 25) Returns: JSON string containing interest data with id, name, audience_size, and path fields

Input Schema

NameRequiredDescriptionDefault
access_tokenNo
limitNo
queryNo

Input Schema (JSON Schema)

{ "properties": { "access_token": { "default": null, "title": "Access Token", "type": "string" }, "limit": { "default": 25, "title": "Limit", "type": "integer" }, "query": { "default": null, "title": "Query", "type": "string" } }, "title": "search_interestsArguments", "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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