Marketing Data & Context for Claude

Documentation

How to connect and start pulling live marketing data directly into Claude.

Getting Started

Marketing Data & Context for Claude connects as an MCP (Model Context Protocol) server. Once connected, Claude can pull live data from Instagram, TikTok, YouTube, Google Maps, Amazon, and Meta Ads on demand - no copy-pasting, no exports.

1
Create an account

Click here to sign up - you get 30 free credits instantly, no credit card required.

2
Connect to Claude

Follow the instructions below.

3
Ask Claude to extract data

Just describe what you need in plain English - Claude handles the rest.

Connect to Claude

Connect via Claude.ai (Pro and Team plans) - once connected, it also works automatically in Claude Code and Claude Desktop.

  1. Go to claude.ai and open Settings.
  2. Navigate to Connectors → Add custom connector.
  3. In the Name field, enter:
Smacient
  1. In the Remote MCP server URL field, enter:
https://claude.smacient.com/mcp
  1. Click Add - you'll be redirected to sign in with your Smacient account.
  2. After authorising, the connector will appear as active. Start a new chat to use it.

Available Tools

Once connected, Claude has access to 12 tools across 6 platforms:

Instagram

extract_instagram_posts

Extract recent posts from one or more Instagram profiles. Returns captions, likes, comments, timestamps, and media type.

search_instagram

Search Instagram by keyword or hashtag and return matching posts.

TikTok

extract_tiktok_videos

Extract recent videos from a TikTok profile. Returns views, likes, shares, comments, and captions.

search_tiktok

Search TikTok by keyword and return matching videos with engagement data.

YouTube

get_youtube_channel

Get channel stats: subscribers, total views, video count, and description. Accepts channel handle, URL, or ID.

get_youtube_videos

Get recent videos from a channel with views, likes, comments, and duration.

get_youtube_comments

Fetch top comments from a YouTube video.

Google Maps

search_google_maps

Search for businesses on Google Maps by name or category, optionally filtered by city.

extract_google_maps_reviews

Extract reviews for a specific Google Maps listing.

Amazon

extract_amazon_reviews

Extract reviews for an Amazon product by ASIN or product URL. Supports all Amazon domains (com, in, co.uk, etc.).

Meta Ads Library

search_meta_ads

Search the Meta Ads Library for a brand's active or historical ads. Returns ad copy, creative details, and run dates.

Account

get_credits_balance

Check your current credit balance and plan. Free to call.

Credit Costs

Credits are deducted per tool call based on the volume of data returned.

Tool Credit Cost
extract_instagram_posts1 per 2 posts returned
search_instagram1 per 2 results returned
extract_tiktok_videos2 per video returned
search_tiktok2 per video returned
get_youtube_channel1 per channel
get_youtube_videos2-6 per channel
get_youtube_comments1-3 per video
search_google_maps1 per search
extract_google_maps_reviews1 per 10 reviews
extract_amazon_reviews~4 per page of reviews
search_meta_ads1 (brand lookup) + 1 per 10 ads
get_credits_balanceFree

Example Prompts

Just ask Claude naturally. Here are some examples to get you started:

"Extract the last 10 posts from @nike and summarise what content themes are performing best."

"Search TikTok for 'skincare routine' videos and identify the top hooks being used."

"Get the latest 20 videos from the MrBeast YouTube channel and tell me which topics get the most views."

"Find coffee shops in New York on Google Maps and pull their reviews - I want to know the most common complaints."

"Extract Amazon reviews for ASIN B09X7NQXYZ and identify the top 3 reasons people love and hate this product."

"Show me the Meta ads that Coca-Cola has been running and analyse their messaging strategy."

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