Social Analytics MCP Server

Social Analytics MCP Server

Enables Instagram and Facebook analytics via the Meta Graph API, offering account insights, media analytics, and post engagement data.

Category
Visit Server

README

Social Analytics MCP Server

A Model Context Protocol (MCP) server for Instagram and Facebook analytics via the Meta Graph API.

Features

Instagram

  • Account discovery and profile information
  • Account-level insights with demographic breakdowns
  • Media listing with engagement data
  • Per-post insights (images, videos, reels, carousels)
  • Stories retrieval
  • Hashtag search and media discovery
  • Content publishing rate limits
  • Mentioned/tagged media

Facebook

  • Page discovery and detailed page info
  • Page-level insights (impressions, engagement, fans, views)
  • Post-level insights
  • Posts with inline metrics
  • Page feed with reactions/comments/shares
  • Known metrics reference
  • Access token validation

Shared

  • Pre-built analysis prompts for common workflows
  • Retry with exponential backoff on 429/5xx errors
  • Structured error handling across both platforms
  • Debug logging via DEBUG=social-analytics-mcp

Quick Start

  1. Install and build

    git clone <repository-url>
    cd social-analytics-mcp
    npm install
    npm run build
    
  2. Get an access token from the Graph API Explorer with permissions:

    • Instagram: instagram_basic, instagram_manage_insights, pages_read_engagement
    • Facebook: read_insights, pages_read_engagement
  3. Add to your MCP client (see configuration below)

Configuration

Variable Required Default Description
INSTAGRAM_ACCESS_TOKEN For Instagram Facebook User Access Token with Instagram permissions
INSTAGRAM_ACCOUNT_ID No Auto-detected Instagram Business Account ID
INSTAGRAM_API_VERSION No v23.0 Instagram Graph API version
FACEBOOK_ACCESS_TOKEN For Facebook Facebook User/Page Access Token
FACEBOOK_PAGE_ID No Use discovery tool Facebook Page ID
FACEBOOK_API_VERSION No v22.0 Facebook Graph API version
DEBUG No Set to social-analytics-mcp for debug logs

You only need to configure access tokens for the platforms you want to use. Account and page IDs can be discovered using the built-in tools.

MCP Client Setup

Claude Desktop

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "social-analytics": {
      "command": "node",
      "args": ["/absolute/path/to/social-analytics-mcp/dist/index.js"],
      "env": {
        "INSTAGRAM_ACCESS_TOKEN": "your_token_here",
        "FACEBOOK_ACCESS_TOKEN": "your_token_here"
      }
    }
  }
}

Claude Code

claude mcp add social-analytics node /absolute/path/to/social-analytics-mcp/dist/index.js \
  -e INSTAGRAM_ACCESS_TOKEN=your_token_here \
  -e FACEBOOK_ACCESS_TOKEN=your_token_here

Available Tools

Instagram Tools

Tool Description Required Params
instagram_list_accounts List available Instagram Business accounts
instagram_get_profile Get account profile info
instagram_get_account_insights Get account-level analytics metrics, metric_type, period
instagram_list_media List recent media posts
instagram_get_media_details Get details for a specific post media_id
instagram_get_media_insights Get insights for a specific post media_id, metrics
instagram_get_stories Get recent stories
instagram_get_hashtag_search Search for a hashtag ID hashtag
instagram_get_hashtag_media Get media for a hashtag hashtag_id
instagram_get_content_publishing_limit Check publishing rate limits
instagram_get_mentioned_media Get media where account is tagged

Facebook Tools

Tool Description Required Params
facebook_list_pages List accessible Facebook Pages
facebook_get_page_details Get page profile information
facebook_get_page_insights Get page-level insights metrics
facebook_get_post_insights Get insights for a specific post post_id, metrics
facebook_list_posts_with_insights List posts with inline metrics post_metrics
facebook_get_page_feed Get page feed with engagement data
facebook_list_known_metrics List supported metrics reference
facebook_validate_token Validate an access token access_token

Common Parameters

Most Instagram tools accept an optional account_id parameter. If not provided, the account is auto-detected from the INSTAGRAM_ACCOUNT_ID environment variable or discovered automatically if only one account exists.

Most Facebook tools accept an optional page_id parameter with similar auto-detection behavior via FACEBOOK_PAGE_ID.

Available Prompts

Prompt Description
analyze_instagram_performance Comprehensive Instagram account analysis
analyze_facebook_performance Comprehensive Facebook Page analysis
compare_post_performance Compare recent posts on either platform
get_audience_demographics Audience demographic breakdown
setup_platform Interactive setup guide

Programmatic Usage

import { InstagramClient, FacebookClient, createServer } from 'social-analytics-mcp';

// Use clients directly
const instagram = new InstagramClient({
  accessToken: 'your_token',
  accountId: 'optional_account_id',
});
const profile = await instagram.getUserProfile();

// Or create an MCP server programmatically
const server = createServer();

Troubleshooting

"Access token is invalid"

  • Ensure your token has the required permissions
  • Short-lived tokens expire in 1 hour — generate a long-lived token

"No Instagram Business account found"

  • Your Instagram account must be a Business or Creator account
  • It must be connected to a Facebook Page

"Unsupported metric"

  • Some metrics are media-type specific (e.g., avg_time_watched only works for videos/reels)
  • Use facebook_list_known_metrics to see supported Facebook metrics

Rate limits

  • Instagram: 200 calls/hour per user token
  • The server automatically retries on 429/5xx with exponential backoff

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

MIT


Note: This is an unofficial tool and is not affiliated with Meta, Facebook, or Instagram.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured