"A server for finding research papers, extracting content, and retrieving relevant repository codes" 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.

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

Lets AI assistants manage a self-hosted content hub: create, edit, publish, and update articles across nine platforms, refresh account article lists, and sync changes through natural language.

23 research tools for AI agents: web search, social media, academic papers, SEC filings, citation verification, reliability scoring. Pay-per-call from $0.01.

Provides an MCP server with tools for managing a social media content calendar, including adding, listing, and updating content items, plus webhook notifications to team channels.

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.

Enables AI agents to perform read-only Reddit research, including discovering relevant subreddits, ranking threads by real discussion volume, and returning verbatim quotes with permalinks.

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 compact Reddit research packs. Enables Reddit data extraction, search, and trend analysis through a set of tools like reddit_search and reddit_thread.

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 local research of public Instagram Reels through a dashboard, CLI, and 22 MCP tools, with optional Codex or Claude Code analysis.

Read-only MCP server for Reddit. Searches and analyzes Reddit content without writing, ensuring all posts are done manually via the Reddit UI.

An MCP server for cross-platform social media research that enables scraping, semantic search, and analysis across seven major social platforms. It uses Apify for data retrieval and stores results in a local database for AI-powered trend detection and profile analysis.

Fetches content data from YouTube, TikTok, Twitter, LinkedIn, articles, and PDFs so LLM clients can analyze content performance and generate insights.

A read-only MCP server that lets ChatGPT use Grok's x_search to retrieve and analyze posts and threads from specified X accounts, returning Chinese research reports with source links.

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