"Finding Accounts and Content to Retweet on Twitter" matching MCP servers:

Enables seamless interaction with Twitter/X platform through Claude AI, allowing users to post tweets with images, search for tweets, and engage in conversations using natural language commands.

An MCP server for reading Twitter/X engagement data and metrics, enabling AI agents to measure tweet performance, track mentions, analyze replies, and search tweets with engagement metrics.

MCP server for Twitter/X enabling AI agents to search, post, reply, and engage with tweets.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

An MCP server that enables Claude to interact with Twitter, allowing for posting tweets and searching Twitter content.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

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 assistants to manage multiple Outlook/Microsoft 365 mailboxes simultaneously through MCP tools, with local OAuth token storage.

MCP server to read X (Twitter) posts, threads, replies, quotes, and search using your own logged-in session, no API key required.

SERP-based content scoring and optimization with 7 SEO categories.

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.

Enables editorial content QA over the Model Context Protocol with four local tools that analyze readability, AI-sounding language, SEO on-page factors, and produce full reports where every finding includes an actionable fix.

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

Enables interaction with Prismic through tools for reading documents, managing media assets, and performing content migrations or updates. Supports the Prismic Content, Asset, Migration, and Custom Types APIs with secure write operations and multi-transport support.

An MCP server providing 8 content creation tools for case studies, newsletters, webinars, and more, based on the CRAFT Framework.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

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.

Provides tools for accurate Twitter/X post character counting, validation, and optimization using official counting methods. It enables users to extract entities like URLs and hashtags to ensure content fits within platform constraints.