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Connect EmbedSocial to Claude with MCP

Link EmbedSocial to Claude with MCP and pull any widget's posts, UGC, reviews, and analytics into the chat just by naming it — ready to summarize, report, and repurpose, with no exporting or copy-pasting.

Written by Simona

You can now connect your EmbedSocial account directly to AI assistants like Claude using MCP (Model Context Protocol). Instead of exporting data or copying things across tabs, you simply tell your AI assistant which widget to use and it works with that widget's live EmbedSocial data for you. 🤖

What is MCP?

MCP is an open standard that lets AI assistants securely connect to external tools and data. EmbedSocial provides an MCP server, so once you connect it, Claude can read your EmbedSocial content and analytics on your behalf — using your existing account and permissions.

Think of it as a secure bridge: your AI assistant can access the same content and metrics you can see in EmbedSocial, without you having to export, paste, or switch between tools.

What you can do once it's connected

The MCP works at the widget level: give your assistant the name of a widget, and it can pull that widget's data. With it connected, your AI assistant can:

  • Pull the social posts, UGC, and reviews from a widget you name

  • Filter that content by date range or by keyword

  • Look up an individual post or review inside that widget

  • Read the widget's engagement analytics — post, icon, lightbox, and CTA click activity over a chosen period

  • Summarize, theme, and turn that content into reports, recaps, and drafts right inside the chat

The AI assistant only reads what's already in your account — it works through your EmbedSocial API key, so it can access the same data you can, and nothing more.

How to connect your EmbedSocial custom connector

Integrate EmbedSocial as a custom connector to analyze your social media data directly. These steps cover setup, connection, and activation.

Step 1: Initiate Custom Connector Setup

Launch the Claude app or open claude.ai . Click the plus (+) icon in the chat interface and navigate to Add connector. From there, select the Add custom connector option to begin.

Navigating to the custom connector menu.

Step 2: Configure Connector Details

Enter "EmbedSocial" in the name field and provide our specific Remote MCP server URL required for your configuration: https://embedsocial.com/admin/mcp. Then, click Add in the bottom right button.

Entering connector name and server URL.

Step 3: Access Connector Settings

Open your account Settings by clicking your profile icon. Locate and select the Connectors section to manage your integrations.

Opening the Connectors section in Settings.

Step 4: Finalize the Connection

Find EmbedSocial under the not connected list. Click the Connect button to authorize the integration and enable tool permissions.

Clicking the Connect button for EmbedSocial.

Step 5: Analyze Your Data

Once connected, use the chat to request data analysis. Claude will now access your EmbedSocial tools to process your social reviews.

Verifying the connection through a chat request.

Use cases & example prompts

Tell your assistant which widget to use by its name, then ask it to work with that widget's data. Swap in your own widget name in the examples below:

Summarize a widget's content

  • "Pull the reviews from my 'Homepage Reviews' widget and summarize what customers praise and complain about."

  • "Show me the latest posts in my 'Summer Campaign' widget and group them into themes."

  • "Find the content in my 'Instagram Feed' widget that mentions 'delivery'."

Track a widget's performance

  • "How many CTA clicks did my 'Homepage Reviews' widget get in the last 30 days?"

  • "Show me the post, lightbox, and CTA clicks for my 'Summer Campaign' widget over the last 90 days."

  • "Which interaction is highest on my 'Instagram Feed' widget in the last 7 days — posts, icon, lightbox, or CTA?"

  • "Draft a short performance recap for my 'Testimonials' widget based on its last-30-day analytics."

Repurpose and report

  • "Pull the data from my 'Testimonials' widget and draft a short recap I can share with my manager."

  • "Write three social captions based on the best reviews in my 'Homepage Reviews' widget."

  • "Summarize this month's feedback in my 'Product Reviews' widget into themes for the product team."

What data can the AI access?

The connection is read access to your own EmbedSocial content. When you name a widget, the assistant can read that widget's posts, UGC, reviews, and engagement analytics. It uses your account's API key, so the assistant sees the same data you do and can't reach anything outside your account.

If you have any questions, click the bottom right chat icon to talk with our customer success team or send us an email at support@embedsocial.com

We're here for you 🙏

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