Social MCP: Multi-Agent Social Media Automation
Description
Social MCP is a multi-agent system designed for automating content extraction, tweet generation, posting, and engagement on social media platforms like Twitter and Bluesky. It leverages large language models (LLMs) for content generation and utilizes Playwright for browser automation.
Features
- Automated content extraction and tweet generation.
- Integration with social media platforms via APIs.
- Workflow orchestration through a client-server architecture.
- Support for adding new agents and tools easily.
Recommended Servers
Fast LLM & Agents & MCPs is a comprehensive repository that explores the concepts of Large Language Models (LLMs), Agents, and Model Context Protocols (MCPs) both theoretically and practically. It includes various tools, frameworks, and sample codes for developing intelligent agents and applications using LLMs.
Flomo MCP is a tool designed for writing notes to the Flomo application, allowing users to easily manage and organize their notes.
MCPollinations is a multimodal Model Context Protocol (MCP) server that allows AI assistants to generate images, text, and audio through the Pollinations APIs.
The Deep Research MCP Server is a Model Context Protocol (MCP) compliant server for comprehensive, up-to-date web research. It leverages Tavily's Search & Crawl APIs to gather, aggregate, and structure information for LLM-powered documentation generation.
NPM Helper is a Model Context Protocol (MCP) server designed to assist with NPM package management and dependency updates, enabling LLMs like Claude to interact with npm packages, search the npm registry, and maintain up-to-date dependencies.
AgentMode is an all-in-one Model Context Protocol (MCP) server that connects your coding AI to various databases, data warehouses, data pipelines, and cloud services, streamlining your development workflow.
This project provides a Model Context Protocol (MCP) server for NATS, enabling AI models and applications to interact with NATS messaging systems through a standardized interface. It exposes a comprehensive set of tools for interacting with NATS servers, making it ideal for AI-powered applications that need to work with messaging systems.
Kollektiv MCP enables you to build personal LLM knowledge base in seconds and use it from your favorite editor / client. No more infrastructure setup, chunking, syncing - just upload your data and start chatting. Supports all major MCP clients out of the box - Cursor, Windsurf, Claude Desktop, etc.
Podbean MCP Server is a management tool that connects any MCP-compatible AI assistant to the Podbean API, allowing users to manage their podcasts, episodes, and analytics through natural conversation.