"An MCP server for indexing S3 content into a RAG vector database" matching MCP servers:

Enables local discovery of research topics, interviews users to uncover their unique perspective, and turns insights into content ideas and short-form Reel scripts.

This server that distributes a single piece of content across 8+ channels (DEV.to, Hashnode, GitHub Discussions, Reddit, Bluesky, LinkedIn, Medium, Twitter) with automatic platform-specific adaptation, idempotent publishing, per-community anti-spam rules, and centralized state management.

Provides AI agents with structured short-form content mechanics including hooks, script structures, retention strategies, and CTAs, along with auditing tools to avoid common posting failures.

Analyzes YouTube videos and X (Twitter) feeds to extract transcripts, generate takeaways, TLDRs, social hooks, and comic-style infographics, and syncs results to GitHub, all callable as MCP tools.

Maps any source asset (e.g., long video, podcast, blog) to all platform formats (TikTok, Reels, Shorts, etc.) with per-platform adaptation rules, enabling a 'film-once-cut-many' content workflow.

Multi-platform content distribution — draft posts, repurpose content, generate carousels, schedule, analyze performance, create threads. 7 MCP tools.

MCP server for publishing posts and retrieving metrics on social platforms like Telegram, with planned support for YouTube and Instagram.

MCP server for managing LinkedIn content workflows. It generates images via OpenAI, stores assets in Cloudinary, and queues drafts through Buffer with mandatory human approval.

Enables managing a social media calendar workflow with AI-generated images/videos, including generating media, uploading to Google Drive, and downloading the latest calendar draft.

Enables AI agents to draft, format, and manage LinkedIn posts through a review pipeline, with human approval via a web UI before publication.

Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Enables creation of optimized LinkedIn posts using a component-based design system with variants, themes, and composition patterns. Supports multiple post types (text, document, poll, video, carousel) with research-backed optimization for maximum engagement.

Enables automated content generation and scheduling for Instagram and Pinterest via the Late API. It allows users to manage publications, generate AI-powered captions, and schedule posts or stories using natural language commands.

Enables LinkedIn profile reads and post operations through a local-first MCP server, with OAuth token management and approval-friendly tools for OpenWorker.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Full-stack AI marketing toolkit with 41 MCP tools: SEO article generation in 55 languages, trend scouting (X/Reddit), competitor analysis, content gap detection, social media adaptations for 9 platforms, AI avatar video shorts, content ingestion (YouTube/PDF/web), lead magnets, and automated content autopilot.

A lightweight toolkit that enables Claude to search Twitter with natural language queries and display results based on user intent, supporting features like tweet filtering, pagination, and flexible output formatting.

Perplexity for social: ask what competitors are running across social and get answers grounded in real ad and creative data, not guesses.