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Social Media MCP Server

by tayler-id

The Social Media MCP Server connects to multiple social media platforms, allowing users to create and publish content across platforms through natural language instructions. It leverages AI models for content creation and research.

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What is Social Media MCP Server?

The Social Media MCP Server is a Model Context Protocol server designed to streamline social media content creation and publishing. It integrates with platforms like Twitter/X, Mastodon, and LinkedIn, enabling users to manage their social media presence through natural language commands.

How to use Social Media MCP Server?

To use the server, you need to clone the repository, install dependencies, configure API keys in a .env file, build the project, and start the server. Then, integrate it into your MCP settings, such as with Claude, by providing the server's command and environment variables. You can then use the available tools like create_post, get_trending_topics, and research_topic to automate your social media tasks.

Key features of Social Media MCP Server

  • Natural Language Interface

  • Research Capabilities

  • Multi-platform Support

  • Content Generation

  • Rate Limit Management

  • Analytics

Use cases of Social Media MCP Server

  • Automated social media posting

  • Content creation based on trending topics

  • Cross-platform content distribution

  • Social media marketing campaign management

  • Brand monitoring and engagement

FAQ from Social Media MCP Server

What platforms are supported?

Currently, the server supports Twitter/X, Mastodon, and LinkedIn.

What API keys are required?

You'll need API keys for Twitter/X, Mastodon, LinkedIn, OpenAI and/or Anthropic (for content generation), and Brave Search (for research).

How does the server handle rate limits?

The server implements rate limit management with queuing and fallbacks to handle API rate limits gracefully.

Can I schedule posts for later?

Yes, the create_post tool allows you to specify postImmediately: false to queue posts for later publication.

How can I contribute to the project?

You can contribute by submitting pull requests, reporting issues, and improving the documentation.