"How to read PDFs and images" matching MCP servers:

MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.

Generates blog and social media images using Google's Gemini AI with pre-configured platform presets for Ghost, Medium, Instagram, Twitter, LinkedIn, YouTube, and more.

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.

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.

An MCP server that generates high-quality blog cover images using Google Gemini AI and automatically uploads them to Qiniu Cloud storage. It provides automated WebP conversion and compression to deliver optimized CDN URLs for generated images.

Find out how AI assistants and search engines talk about your brand. Ask how often ChatGPT, Perplexity and Google's AI answers mention you, where you rank, how positive those mentions are, which sites they cite, and how you compare with competitors. Your assistant can also set up and adjust the monitoring for you, showing a preview and asking before anything that deletes data or uses up your plan.

Read-only MCP server that connects Claude Desktop to the publisher-side Ad Manager API so users can browse networks, saved reports, orders, and line items, and run saved reports to pull their rows into a conversation. No tool mutates data, and per-user OAuth ensures each person inherits only their existing account permissions.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

MCP server for the digihub.li content API, enabling Claude to read and write Stories, Solutions, and Sessions, and upload images for media.

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.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

Public read-only MCP server for HiBot's AI-visibility knowledge: the ANSWER framework for measuring how AI answer engines surface, recommend, and represent brands, plus audit plans, case studies, and research. Hosted Streamable HTTP endpoint; the repo's Dockerfile bridges stdio via mcp-remote.

Connects MCP clients to ThriveStack AI Visibility data, enabling users to see how AI search engines mention and cite their brand, compare with competitors, and decide what to publish next.

Cloud-hosted MCP server that enables AI assistants to create, update, and manage QR codes on me-qr.com via OAuth, supporting types like URLs, Wi-Fi, vCards, PDFs, and images.

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.

Lets an AI assistant check any URL to see how much of a page's main content is present in the raw HTML versus only after JavaScript runs, showing which text blocks, meta fields, canonical tags, JSON-LD and links AI crawlers like GPTBot and ClaudeBot cannot read. It also reports what robots.txt allows for 22 AI bot tokens and how the site responds to each bot's user-agent.

Enables Claude, ChatGPT, Cursor, and other MCP clients to query Google Search Console, GA4, PageSpeed Insights, and live SERPs through 38 read-only SEO tools for quick wins, content decay, indexing, Core Web Vitals, AI traffic, and conversion analysis.

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 an agent to reverse engineer how any product is distributed from a single URL, returning an evidence-cited scorecard, per-community verdicts on where promotion is allowed (channel, mine, gated, closed, unknown), and a deterministic 7/30-day plan. It also exposes the underlying evidence, content, playbooks, run comparison, and report validation as callable tools and named prompts.

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.

Enables agents to prepare inputs, generate, resume, validate, and revise ecommerce competitor images while preserving reference composition and product/brand details, with persistent task tracking and credential storage.

Enables AI clients to read status and records, control collection tasks, prepare drafts, and execute approved queues, with manual approval required before sending.

Enables AI assistants to upload and schedule videos, images, carousels, and text posts across 17 social platforms, read analytics, and reply to comments through a hosted OAuth connection.

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

Enables tracking AI search visibility by showing how ChatGPT, Gemini, Google AI Mode, and Google AI Overviews answer your tracked questions, whether they mention your brand, how you compare with competitors, and which sources they cite.

Analyse what works → make Reels and carousels → publish or queue them → review how they did. All from a chat with Claude.

Enables analyzing a corpus of AI answers or competitor content to surface recurring character-level phrases, which brands and domains occupy those answers, and how homogenized the answer space has become. Exposes an analysis tool, a self-check that validates the measurement against control corpora, and a method/limits explainer, all read-only and working from JSON sample records.

Enables checking whether a Meta, LinkedIn, or Google Ads campaign is structurally able to serve and convert before spending, by inspecting schedule, bid, destination, approval, geo, and budget fields through read-only tools. It also reconciles reported spend across the three platforms against a ledger to surface discrepancies, armed campaigns, and drift.

AI-powered content and image generation server with Google Imagen 3/4 for images, Veo 2/3 for videos, and Claude/Gemini for marketing copywriting, including batch processing, cost estimation, and campaign planning tools.

Acts as a persistent log of ad creative reviews. Stores each review's ad name, funnel stage, score, media link, and full review text so agents can look back at how past creatives were scored.