Integrated for research capabilities, allowing the MCP server to search for information, facts, and news using Brave Search
Enables posting content to Mastodon with platform-specific formatting, managing API rate limits, and tracking post performance
Used for content generation, allowing the MCP server to create social media posts using OpenAI's models
Integrated as a research tool, allowing the MCP server to research topics and gather information for social media content
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Social Media MCP ServerPost about AI ethics trends on Twitter and LinkedIn"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Unipile MCP Server
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
Clone the repository:
git clone https://github.com/yourusername/social-media-mcp.git
cd social-media-mcpInstall dependencies:
npm installCreate a
.envfile 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=trueBuild the project:
npm run buildStart the server:
npm startMCP 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 configurationScripts
npm run build: Build the projectnpm run dev: Run in development mode with hot reloadingnpm start: Start the production servernpm test: Run testsnpm run lint: Run lintingnpm 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 tokenUsage:
cd scripts && npm install && npm run linkedin-oauthSee scripts/README.md for more details
Documentation
The documentation directory contains detailed documentation for each social media platform integration:
License
This project is licensed under the ISC License.