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MCP for Facebook Pages

GoMarble MCP connects AI assistants to your Facebook Pages, letting them read page information and insights, list posts, read post-level insights and pull comments, using natural language.

This is the organic Page side. For campaigns, ad sets and ads, see MCP for Meta Ads — a separate connection on the same server.

Pranshu in ↗

Growth, GoMarble · Updated 2026-10-09 · 7 min read

Get Started with GoMarble MCP View MCP Documentation →

What is MCP for Facebook Pages?

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How to connect Facebook Pages to GoMarble MCP

Connect Facebook once in GoMarble, then point any supported AI client at the MCP server.

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Connecting to Claude

The current steps, from the GoMarble MCP page:

  1. Open Settings, then Connectors.
  2. Choose Add custom connector.
  3. Enter https://apps.gomarble.ai/mcp-api/sse, then select Authorize.
  4. Choose the GoMarble workspace and accounts Claude can use.

Authorization uses GoMarble’s consent and workspace permissions, completed in the browser window your client opens.

Other supported clients

GoMarble MCP is a remote MCP server at https://apps.gomarble.ai/mcp-api/sse, currently supported in Claude, ChatGPT, Cursor, n8n, Hermes and OpenClaw, plus other clients that support compatible remote or local MCP servers. Setup differs slightly per client, so follow the canonical instructions rather than adapting the Claude steps.

View the complete GoMarble MCP setup guide →

What the free plan includes

  • Up to $50,000 in cumulative ad spend
  • One account per data source
  • No edit actions — read and analysis only

What can you do with GoMarble MCP for Facebook Pages?

Grouped by the job rather than by the tool that does it.

Analyze

  • Read page-level insights over a chosen period
  • Read post-level insights for individual posts
  • List posts and see which performed

Investigate

  • Read comments on a post to judge sentiment
  • Read page information and configuration
  • Compare organic post performance against paid activity in the same period

Act

  • Not supported — Facebook Pages is read-only on this connection

GoMarble MCP capabilities for Facebook Pages

CapabilityWhat GoMarble MCP can do
Page insightsPage-level performance over a chosen period
PostsList posts and read which ones performed
Post insightsPerformance for an individual post
CommentsRead comments on a post, which is where sentiment problems surface first
Page infoPage details and configuration
ExecutionNot available — no write tools, so nothing can be posted, edited or replied to

What data can GoMarble MCP access?

The data available for Facebook Pages, grouped by type.

Pages

Pages available to the connection · Page information

Performance

Page insights · Post insights

Content

Posts · Post comments

GoMarble MCP workflows for Facebook Pages

Jobs marketers actually want done, rather than features. Each one is a single natural-language request.

Check sentiment before blaming the creative

“What are people saying in the comments on this post?”

What GoMarble MCP does: Pulls comments so negative sentiment can be ruled in or out — a common and overlooked cause of poor click-through.

What you get:

Find organic posts worth promoting

“Which organic posts performed best last month?”

What GoMarble MCP does: Lists posts with insights so the strong ones can be considered for paid amplification.

What you get:

Compare organic and paid

“How did organic reach compare to paid this month?”

What GoMarble MCP does: Pulls page insights alongside ad account data from the same connection.

What you get:

Review page trend

“How have page insights trended over the quarter?”

What GoMarble MCP does: Reads page-level performance across the period and summarises the direction.

What you get:

Audit a specific post

“How did this post perform?”

What GoMarble MCP does: Pulls post-level insights rather than eyeballing engagement counts.

What you get:

Spot a comment problem on an ad

“Are there negative comments on the posts behind my top ads?”

What GoMarble MCP does: Reads comments on the underlying posts, which is often why a well-performing creative stops converting.

What you get:

Example GoMarble MCP prompts for Facebook Pages

Things real marketers ask, grouped by intent. Paste any of them once connected.

Page performance

  • “How did my page perform last month?”
  • “What are my page insights this quarter?”
  • “Has page reach declined?”
  • “Compare page performance month over month”

Posts

  • “Which posts performed best last month?”
  • “Show me my recent posts”
  • “How did this post do?”
  • “Which posts got the most engagement?”

Comments

  • “What are the comments on this post?”
  • “Is there negative sentiment on my recent posts?”
  • “Which posts are attracting complaints?”

Organic and paid

  • “How does organic reach compare to paid?”
  • “Which organic posts should I promote?”
  • “Are my ads and organic saying the same thing?”
  • “Which page posts are behind my current ads?”

Why use GoMarble MCP for Facebook Pages?

An API gives AI access to data. GoMarble MCP gives it the marketing context and workflows needed to work with that data.

GoMarble MCP for cross-platform marketing analysis

Marketers rarely decide anything from one platform. GoMarble MCP can give AI a view of the wider marketing system rather than forcing it to reason from one disconnected source at a time.

CombinationWhat becomes answerable

How does GoMarble MCP work?

StepWhat happens
1You ask a question in natural language
2The AI client works out what information it needs
3GoMarble MCP retrieves the relevant marketing data and tools
4GoMarble supplies the marketing context around it
5The AI analyses the result
6You get an answer, a recommendation, a report — or a proposed action

Write access is plan-dependent. On the read-only plan you can connect a client and analyse supported accounts without making changes. Where write access is enabled, changes are proposed rather than applied directly — every write tool in the server is a propose call, and consequential actions route through the permissions and approval gates configured for your workspace.

Who is GoMarble MCP for?

Social managers

Review page and post performance without opening Business Suite.

Paid media teams

Check comment sentiment on the posts behind underperforming ads.

Agencies

Report organic alongside paid for the same client in one pass.

GoMarble MCP vs traditional Facebook Pages workflows

Traditional workflowWith GoMarble MCP

Frequently asked questions

What is MCP for Facebook Pages?
It means connecting an AI client such as Claude or ChatGPT to your Facebook Page data through the Model Context Protocol, so the assistant can read page insights, posts, post performance and comments directly. GoMarble hosts the server.
Is this the same as MCP for Meta Ads?
No, and the split is deliberate. This connection covers the organic Page side — posts, page insights, comments. Campaigns, ad sets, ads and creative live in the Meta Ads connection, which also supports proposing changes. Both run on the same server.
Can it post or reply to comments?
No. This is read-only — it can read posts and comments but cannot publish, edit or reply. Nothing on the page can be changed through it.
Why would a paid media team want Page data?
Comments, mostly. An ad with good watch-through and poor click-through often has an unanswered question or visible complaint in the comment thread, and that is invisible in the ad metrics. Reading comments is frequently the fastest explanation available.
Which AI clients work with it?
Claude, ChatGPT, Cursor, n8n, Hermes and OpenClaw. The same server URL works for all of them.
What does the free plan allow?
Read and analysis only, one account per data source, and a cap of $50,000 in cumulative ad spend. This connection is read-only anyway, so the free plan covers the full experience for it.
Does it cover Instagram too?
Instagram is a separate connection on the same server, covering account insights, media and comments. Connecting both gives you the organic picture across Meta's surfaces.
Do I need a Facebook developer app?
No. App registration, permissions and token handling sit on our side. You connect in GoMarble and point your AI client at the server.

Why GoMarble MCP?

The work you stop doing:

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Connect your marketing stack once. Give AI the context it needs. Ask in plain English, and let it analyse, explain, recommend and — where enabled — propose the change.

Your Facebook Pages data is already there. Now give AI access to it.

Connect GoMarble MCP to your marketing stack and start analysing Facebook Pages from the AI tool you already use.