"A digest or summary of popular Reddit content" matching MCP servers:

Enables turning public YouTube videos into full text and a short summary by having Gemini watch the video through its documented YouTube-URL input, with no downloading or caption scraping. Digests are cached in SQLite by video id, so repeated requests are free, and stored videos can be listed or searched with full-text queries.

Enables agents to decide whether the EU AI Act requires a label for AI-generated or modified content, then draw, render as HTML/SVG, or burn a WCAG-contrast EU label into an image and return the matching alt text.

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 reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.

Downloads TikTok videos, transcribes them, suggests subreddits and titles, and posts them as native Reddit videos with auto-comment for source links.

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.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

Enables AI-powered content creation from trending research to final video, automatically fetching and analyzing Reddit, YouTube, and News data to generate scripts, cloned voice audio, and talking-head videos in single tool calls.

Enables AI assistants to control a Blender instance through MCP tools, supporting scene creation, editing, and asset exchange via HTTP and background CLI processes.

This MCP server lets an agent validate a local image's format, byte size, and pixel dimensions against published upload limits, and draft a cautious Basic or Pro enhancement plan from a blur description. It also surfaces the official site, pricing, and contact links, all without uploading or processing any image pixels.

Enables image and video understanding plus audio transcription through natural language, using GLM-4.6V-Flash for visual analysis and faster-whisper for speech recognition.

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.

An MCP server for generating images and checking generation status through ComfyUI's API. It allows interaction with local ComfyUI instances by providing workflow-based image generation and status checking tools.

Enables account-less access to all 45 Google Gemini models and autonomous agents for text generation, multi-step reasoning, deep research, image/video/audio generation, grounded search, and embeddings via L402, x402, and MPP.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

Converts animated GIFs, WebP, APNG, or MP4 files into a single labelled contact sheet with sampled frame timestamps, enabling agents to perceive motion over time instead of a single still frame. It returns the contact sheet image plus a JSON summary of frame count, timestamps, and grid size for time-aware reasoning.

Provides an MCP tool that analyzes images from local paths, URLs, or data URLs via a vision language model, returning structured descriptions (brief, detailed, summary) so text-only LLMs can understand image content.

Turns plain-language requests into finished, beat-synced montage edits from a folder of raw clips — handling shot selection, music matching, subtitles, transitions, and rendering, while returning a reviewable timeline digest and contact sheet before anything is rendered.

fixRAgent triages one photo of a building problem: what it is, how urgent (EMERGENCY, TODAY, THIS WEEK or WHENEVER), which trade to call, and what to tell the resident. Remote server at https://fixragent.com/mcp with three tools: try_sample, assess_property_photo, get_triage_profile. No key needed to start.

MCP server that lets AI assistants like Claude or Cursor extract structured data (e.g., invoices) from images and PDFs via Vision API, with tools for analysis, questions, and preset management.

Reads passports, ID cards and driver's licences from a photo or scan and returns the printed fields and MRZ as structured JSON. One credit ($0.01) per recognised document; nothing is charged when no document is found.

Give your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.

Enables any MCP-capable agent to generate App Store and Google Play store screenshots from screen layout JSON plus local image file paths, returning a job ID for async polling or a direct download link. It also exposes render status polling with signed download URLs and per-response quota, balance, and cost metadata.

Exposes OpenAI's gpt-image-2 and gpt-image-1.5 to Claude Code as a single tool for generating, editing, or composing images with automatic model selection.

An MCP server that reads a file's embedded C2PA Content Credential to report whether it declares AI generation or a real-world capture, and checks whether that declaration's signature still verifies against the file's current bytes.

MCP server (stdio, TypeScript) for optimising the images in a project with verified quality. Tools: analyze_images (read-only dry run) and optimize_images (in place or to a folder). Source: mcp/ in this repository; npm: optiq-mcp; MCP Registry: io.github.Baukaalm/optiq-mcp.

Enables analysis of an image's optical properties (color temperature, light vectors, luminance dynamics) and generation of physically grounded relighting variants, harmonized composites with contact shadows, and calibrated diffusion prompts for GPT Image and Nano Banana targets.

Enables natural language search of local photo archives using AI-powered semantic understanding, with integration into Claude Desktop via the Model Context Protocol.

Offline PDF tools from the LaserPDF desktop app: extract and search text, OCR scanned pages (English and Turkish), redact text so it is removed from the file, remove hidden metadata, export tables to Excel, and merge, extract or rotate pages.