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by tayler-id • Analytics & Monitoring
An MCP server that lets agents create, research, format, and publish social media posts across Twitter/X, Mastodon, and LinkedIn via natural language instructions.
Generate and publish platform-specific social media posts across Twitter/X, Mastodon, and LinkedIn from a single natural-language instruction.
Research topics (hashtags, trends, facts, news) using Brave Search and Perplexity to enrich generated content.
Manage API rate limits, queue/fallback posting, and collect basic analytics to optimize future posts.
This repository implements a Model Context Protocol (MCP) server to orchestrate content creation, research, and cross-platform publishing for social media. It integrates with multiple AI models (OpenAI, Anthropic) for content generation, Brave Search and Perplexity for research, and platform APIs for Twitter/X, Mastodon, and LinkedIn. The server handles platform-specific formatting, rate-limit management, and basic analytics to optimize post performance. It's intended to be run locally or deployed with appropriate API keys for each service.
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