"Finding People on LinkedIn" matching MCP servers:

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.

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 downloading content from various social media platforms through a unified API. Provides a single tool to download media from multiple social networks using the Social Download All In One service.

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.

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 controlling FL Studio on macOS via MCP, including transport, mixer, channel, MIDI export, and Piano Roll note insertion.

Make drawings on a JavaFX canvas

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 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.

A composition-focused server built on music21 for generative music workflows, enabling melody generation, musical transformations, chord reharmonization, counterpoint creation, and MIDI export through constraint-based algorithmic composition tools.

MCP Server for ShaderToy, a site where people share GLSL shader. This MCP server allows LLMs to make complex shader they aren't normally capable of.

Local MCP server for FL Studio on macOS, enabling control of projects, transport, mixer, plugins, automation, and piano roll operations.

Lets an AI model drive a Teenage Engineering OP-1 field over USB MIDI — designing sounds, playing scored parts, running tape and mixer, and authoring presets — while capturing every take from the device's own USB audio. The model then works from measured recordings of what was actually heard, reading levels, note detection and spectrograms rather than assuming what it sent.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Enables chat-driven video editing by letting an MCP host analyze raw clips and produce finished, beat-synced montages with matched music, subtitles, transitions, and picture-in-picture, all previewed as a timeline digest before rendering. It runs locally through agents such as Claude Code, Codex, Hermes, and OpenCode.

Enables users to turn raw video clips into finished, beat-synced montage cuts through natural-language chat, with the agent selecting shots, matching music, adding subtitles and transitions, and rendering the final video.

Enables an AI agent to ingest raw video clips, plan and edit a montage from natural-language prompts, and produce a rendered, beat-synced cut with matched music, subtitles, transitions, and picture-in-picture.

Enables users to turn raw clips into finished, beat-synced montage videos through natural-language chat, including shot selection, music matching, subtitles, transitions, and picture-in-picture. It lets agents analyze footage, plan and review cuts before rendering, and export final edits without a GPU or timeline editor.