What is Social Media Mcp

social-media-mcp is a Model Context Protocol (MCP) server that connects to multiple social media platforms, enabling users to create and publish content across these platforms using natural language instructions.

Use cases

Use cases include automating social media posts, researching trending topics, generating engaging content, and analyzing the performance of social media campaigns.

How to use

To use social-media-mcp, clone the repository, install dependencies, configure your API keys in a .env file, build the project, and start the server. You can then integrate it with MCP-compatible assistants.

Key features

Key features include a natural language interface for content creation, research capabilities for hashtags and trends, multi-platform support for Twitter/X, Mastodon, and LinkedIn, content generation using AI models, rate limit management, and analytics for tracking post performance.

Where to use

social-media-mcp can be used in digital marketing, social media management, content creation, and research across various industries that utilize social media platforms.

Social Media MCP Server

A Model Context Protocol (MCP) server that connects to multiple social media platforms, allowing users to create and publish content across platforms through natural language instructions.

Features

• Natural Language Interface: Create posts for multiple platforms with simple instructions
• Research Capabilities: Automatically research hashtags, trends, facts, and news
• Multi-platform Support: Post to Twitter/X, Mastodon, and LinkedIn with platform-specific formatting
• Content Generation: Generate engaging content using multiple AI models
• Rate Limit Management: Handle API rate limits gracefully with queuing and fallbacks
• Analytics: Track post performance and optimize content strategy

Getting Started

Prerequisites

• Node.js (v18+)
• npm or yarn
• API keys for:
  • Twitter/X
  • Mastodon
  • LinkedIn
  • OpenAI and/or Anthropic (for content generation)
  • Brave Search (for research)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/social-media-mcp.git
cd social-media-mcp

2. Install dependencies:

npm install

3. Create a .env file with your API keys:

# Twitter API Credentials
TWITTER_API_KEY=your_api_key
TWITTER_API_SECRET=your_api_secret
TWITTER_BEARER_TOKEN=your_bearer_token
TWITTER_ACCESS_TOKEN=your_access_token
TWITTER_ACCESS_SECRET=your_access_secret
TWITTER_OAUTH_CLIENT=your_oauth_client
TWITTER_CLIENT_SECRET=your_client_secret

# Mastodon API Credentials
MASTODON_CLIENT_SECRET=your_client_secret
MASTODON_CLIENT_KEY=your_client_key
MASTODON_ACCESS_TOKEN=your_access_token

# LinkedIn API Credentials
LINKEDIN_CLIENT_ID=your_client_id
LINKEDIN_CLIENT_SECRET=your_client_secret
LINKEDIN_ACCESS_TOKEN=your_access_token

# AI API Keys
ANTHROPIC_API_KEY=your_anthropic_key
OPENAI_API_KEY=your_openai_key
BRAVE_API_KEY=your_brave_key

# Application Settings
LOG_LEVEL=info
CACHE_ENABLED=true
RATE_LIMIT_ENABLED=true

4. Build the project:

npm run build

5. Start the server:

npm start

MCP Integration

To use this MCP server with Claude or another MCP-compatible assistant, add it to your MCP settings:

{
  "mcpServers": {
    "social-media-mcp": {
      "command": "node",
      "args": [
        "path/to/social-media-mcp/build/index.js"
      ],
      "env": {
        "TWITTER_API_KEY": "your_api_key",
        "TWITTER_API_SECRET": "your_api_secret",
        "TWITTER_BEARER_TOKEN": "your_bearer_token",
        "TWITTER_ACCESS_TOKEN": "your_access_token",
        "TWITTER_ACCESS_SECRET": "your_access_secret",
        "TWITTER_OAUTH_CLIENT": "your_oauth_client",
        "TWITTER_CLIENT_SECRET": "your_client_secret",
        "MASTODON_CLIENT_SECRET": "your_client_secret",
        "MASTODON_CLIENT_KEY": "your_client_key",
        "MASTODON_ACCESS_TOKEN": "your_access_token",
        "LINKEDIN_CLIENT_ID": "your_client_id",
        "LINKEDIN_CLIENT_SECRET": "your_client_secret",
        "LINKEDIN_ACCESS_TOKEN": "your_access_token",
        "ANTHROPIC_API_KEY": "your_anthropic_key",
        "OPENAI_API_KEY": "your_openai_key",
        "BRAVE_API_KEY": "your_brave_key"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Available Tools

create_post

Create and post content to social media platforms based on natural language instructions.

{
  "instruction": "Post about the latest AI developments in healthcare",
  "platforms": [
    "twitter",
    "mastodon",
    "linkedin"
  ],
  "postImmediately": false
}

get_trending_topics

Get trending topics from social media platforms.

{
  "platform": "twitter",
  "category": "technology",
  "count": 5
}

research_topic

Research a topic using Brave Search and Perplexity.

{
  "topic": "artificial intelligence ethics",
  "includeHashtags": true,
  "includeFacts": true,
  "includeTrends": true,
  "includeNews": true
}

Development

Project Structure

social-media-mcp/
├── src/
│   ├── index.ts                 # Entry point
│   ├── config/                  # Configuration
│   ├── types/                   # TypeScript type definitions
│   ├── core/                    # Core orchestration logic
│   ├── nlp/                     # Natural language processing
│   ├── research/                # Research engine
│   │   ├── brave/               # Brave Search integration
│   │   ├── perplexity/          # Perplexity integration
│   │   └── aggregator/          # Research result aggregation
│   ├── content/                 # Content generation
│   │   ├── strategies/          # AI model strategies
│   │   ├── formatter/           # Platform-specific formatting
│   │   └── templates/           # Content templates
│   ├── platforms/               # Social media platform integrations
│   │   ├── twitter/             # Twitter API integration
│   │   └── mastodon/            # Mastodon API integration
│   ├── analytics/               # Analytics engine
│   ├── rate-limit/              # Rate limit management
│   └── utils/                   # Utility functions
├── memory-bank/                 # Project documentation
├── build/                       # Compiled JavaScript
├── .env                         # Environment variables
├── package.json                 # Dependencies and scripts
└── tsconfig.json                # TypeScript configuration

Scripts

• npm run build: Build the project
• npm run dev: Run in development mode with hot reloading
• npm start: Start the production server
• npm test: Run tests
• npm run lint: Run linting
• npm run format: Format code

Utility Scripts

The scripts directory contains utility scripts for the Social Media MCP Server:

• scripts/linkedin-oauth.js: Handles the OAuth 2.0 flow for LinkedIn to obtain an access token
  • Usage: cd scripts && npm install && npm run linkedin-oauth
  • See scripts/README.md for more details

Documentation

The documentation directory contains detailed documentation for each social media platform integration:

• Mastodon Integration
• Twitter Integration
• LinkedIn Integration
• Integration Summary

License

This project is licensed under the ISC License.

Acknowledgements

• Model Context Protocol
• Twitter API v2
• Mastodon API
• LinkedIn API