"Finding people on LinkedIn by name" matching MCP servers:

Enables finding home fitness exercises by name, alias, equipment, or muscle and opening reviewed video demonstrations and full-workout links.

Enables Claude to send After Effects compositions to Adobe Media Encoder for rendering with specified output paths and encoding values, then check whether the render has finished. It also supports searching and creating presets, queueing comps, and waiting on jobs with ffprobe-verified output checks.

Enables uploading, arranging, merging, and downloading PDFs through an MCP-compatible LLM client by interacting with a PDF Merger API.

Convert HTML to PDF/PNG/WebP/PPTX slide carousels with 11 themes. For LinkedIn carousels, decks, Instagram posts, and infographics — Puppeteer-based pixel-perfect rendering.

Lets AI agents mark the images and audio they generate, as the EU AI Act's Article 50 requires: an invisible watermark (TrustMark for images, AudioSeal for audio) plus a signed C2PA manifest (Content Credentials), in one tool call. Tools: mark_file (writes .marked.png/.wav next to the original, optional visible "AI-generated" label), verify_file (watermark and C2PA signature check, by path o

Lets AI agents drive a running Adobe After Effects (~270 undo-safe operations). Works with every UI language Adobe ships and sees the frame: draws Object Matte on what it sees (lassos, ⊕/⊖ points, a preview of gaps and people) and syncs AI-generated layers with the plate frame by frame. A large skills library, built for AI and generative features: Roto Brush, Object Matte, Content-Aware Fill.

Enables AI-driven MIDI composition with chord name support, interactive piano-roll preview, and multiple deployment modes.

Converts Office documents, images, and e-books to PDF and transforms PDFs by merging, splitting, rotating, numbering, watermarking, compressing, protecting, or unlocking them, plus PDF-to-Word and PDF-to-image conversion, all driven by natural language. Files stay on the user's computer apart from the conversion itself, which runs on EU-hosted servers in France.

Gives an existing AI agent local stdio tools to list, read, create, and edit .kinoscript.json audio-visual scripts in a single folder on your machine. Writes are validated, atomic, confined to that folder, and optionally guarded by an updated-at check so concurrent edits aren't silently overwritten.

Enables agents on Windows to inspect video and audio evidence by returning adaptively selected frames, subtitles or optional local ASR transcriptions, timestamps, and processing status from local files or supported URLs.

MCP server for Takes, a free, open-source Mac teleprompter and recorder for talking-head videos. It lets an AI assistant write scripts and storyboards, manage takes, make edits and draft the posts for LinkedIn, X, YouTube and Shorts.

Generates realistic human face images that don't represent real people, offering various output shapes, configurable dimensions, and batch generation capabilities.

Enables AI agents to build channels from video and audio playlists, start, schedule, sync, stop and monitor live broadcasts across YouTube, Facebook, Twitch, LinkedIn and X, and read stream analytics afterwards. Also covers project and scene editing, media library management with upload and encode workflows, and destination validation, over a stateless streamable HTTP endpoint authenticated with a LiveReacting API key.

Turn any language model into a multimodal powerhouse that can generate images, music, videos and more on the fly. Rostro's tools are designed to be used by language models from the ground up, expanding capabilities with minimal context bloat.

Lets AI assistants control a NUX MG-30 guitar processor over USB MIDI by picking amp, cab, drive, modulation, delay and reverb models, toggling blocks, and setting knobs by name. It can also read, save, rename, back up and restore presets on the device, and apply whole tone recipes from JSON patch files.

Enables AI agents to see and control Android devices through ADB and screen mirroring, supporting screen capture, touch input, app management, UI element finding, file transfer, shell commands, clipboard access, and audio/video streaming.

Enables deterministic, local-first video production from knowledge sources by validating, persisting, routing, rendering, and running QA on platform-ready video packages with full provenance.

Enables AI clients to edit Premiere Pro timelines through natural-language requests, including cutting clips, closing gaps, adjusting color and audio, adding captions, and exporting. It shows changes on screen by moving the playhead and selecting clips as edits are made.

A local MCP bridge that lets AI agents build and edit real TouchDesigner networks by creating and wiring operators, setting parameters and expressions, validating the network, and viewing rendered image previews to iterate on results.

Enables AI agents to reverse-engineer a finished video into an NLE-importable edit timeline by probing media, detecting hard cuts, assembling a seconds-anchored EditSpec, and exporting FCP7 XML, EDL, or OTIO. Also renders self-contained HTML shot-review reports and shares its workspace with a matching CLI so specs produced by an agent can be exported or reported on directly.

Enables AI agents to edit OpenShot 4.0 video projects by importing media, detecting a music beat grid, placing clips on the grid, and saving the project.

Make drawings on a JavaFX canvas

Enables AI assistants and agents to edit existing videos with plain-language instructions and reference photos, including removing people or objects, changing outfits, backgrounds, products, faces, styles, or adding effects while preserving framing and audio. Supports uploading media, quoting and starting edits, checking job status, and retrieving private result links.

Enables efficient analysis of recorded meetings by transcribing audio, extracting only non-people frames (e.g., slides), and associating them with timestamps for compact LLM input.

MCP server that creates Remotion animations on the fly, stores MP4s locally, and lets you browse and download them via an interactive UI.

Enables fetching transcripts from YouTube videos by searching for videos based on text queries and retrieving either official transcripts or generating them using AI-powered transcription with Whisper when official transcripts are unavailable.

Video review and collaboration for teams and agents: a full review interface for agentic video and motion graphics, feedback by voice, screen and drawing on the frame, agents that iterate version by version, and every version's notes and source files saved for the team.

Enables an assistant to turn any video ffmpeg can read into a text transcript by extracting the audio, splitting it on silence, and transcribing each piece on-device through utt. Exposes tools to start a transcription job with optional hints and timestamps, and to poll for a transcript that is still being worked on.

Enables local video and audio understanding by measuring duration, codecs, silence, black or frozen frames, loudness and audio peaks with FFmpeg, and by sending only a trimmed clip range to an OpenRouter model for detailed chronological summaries or focused questions. Runs entirely on local files with no Codex fork required.

Enables an AI client to obtain the text of a YouTube video by returning its metadata, the captions YouTube already provides, or a Whisper transcription run on a local GPU. Text responses are bounded and pageable, and long transcriptions run as background jobs that survive request timeouts.