"How to read document contents" matching MCP servers:

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.

A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.

A full social media management MCP server enabling post, read, schedule, and analyze across Facebook, Instagram, LinkedIn, X/Twitter, Pinterest, and YouTube from any MCP-compatible AI client.

Paste a URL to see exactly how it renders as a social card on Twitter, LinkedIn, Facebook, and Slack. Generate custom OG images from templates.

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.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

Read-only MCP server that retrieves SEO analytics data from WordPress, Google Search Console, and Google Analytics 4, enabling users to fetch posts, search performance, page metrics, and more via natural language.

Enables querying how often a brand is recommended by AI search and chat surfaces, returning recommendation and inclusion rates for any given brand.

MCP server exposing content contract validators (SEO.md, PRODUCTHUNT.md, LINKEDIN.md) as tools so AI agents can verify generated content against concrete rules without maintaining linters. It provides linting and JSON-LD export tools with config and content passed as parameters, not file paths.

Enables publishing and scheduling posts to Buffer via the createPost GraphQL mutation, extending beyond Buffer's official read-only MCP connector.

Provides AI-visibility scoring and site auditing capabilities for websites, enabling agents to check how sites appear in AI engines like ChatGPT and Perplexity, run full SEO/security audits, and monitor changes over time.

MCP server for the OpenGraph.io API -- extract OG metadata, capture screenshots, scrape pages, query sites with AI, and generate branded images with iterative refinement.

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.

Local-first MCP server using LinkedIn's official OAuth and REST APIs to connect a member account, read profile, and publish text posts.

Track how your brand appears in AI-generated answers across ChatGPT, Perplexity, and other AI models. Analyze visibility, sentiment, citations, and domain rankings with 31 tools — including analytics reports, chat inspection, query analysis, and full CRUD for brands, prompts, tags, and topics.

Competitive intelligence platform with 24 tools. Monitor competitor pricing, content, positioning, tech stacks, and AI visibility — track how ChatGPT, Claude, and Gemini rank your brand.

A read-only MCP server for querying Google Ads data using GAQL, enabling AI assistants to safely read campaign performance, ad groups, and keywords.

MCP server to read and manage Google Ads accounts via GAQL queries, campaign/ad group/keyword operations, and safe write support with draft-confirm flow.

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

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.