"A server for job searching" matching MCP servers:

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.

Converts a single-file MP3/M4A audiobook plus its EPUB into a chaptered M4B, using silence-gap detection to find real chapter boundaries, with checkpointed job-based progress, EPUB preview, boundary inspection/waveform review, metadata lookup, and cover fetching/embedding tools for resumable, verifiable audiobook production.

Enables AI agents to turn YouTube videos into downloadable audio files in formats like MP3, M4A, WAV, FLAC, and OGG (with optional clipping), and to retrieve existing captions as text, JSON, Markdown, SRT, or VTT. Uses your own RapidAPI key and supports job polling for longer conversions.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.

Transcodely is agent-native video infrastructure: transcode, host, and get a playable link back from one natural-language prompt. Connect with one OAuth click, then create a job, poll status, and hand back a durable player URL - 7 tools, including AI-generated captions.

Enables MCP clients to operate local Adobe Premiere Pro projects, covering media ingest, bins, sequence and timeline editing, transitions, effects, keyframes, captions, markers, metadata, proxies, multicam, color, audio, and exports through 283 discoverable tools, 13 context resources, and 10 guided prompts. A bundled CEP panel provides the supported production bridge, with read-only connection verification and higher-level workflows for assembling product spots and motion-graphics demos.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

A job queue-based FFmpeg wrapper enabling AI assistants to perform video processing tasks such as trimming, format conversion, resolution change, and subtitle conversion through natural language.

Transforms DALL-E 3, DALL-E 2, and GPT-Image-1 into MCP-compatible tools for generating images from natural language descriptions, supporting batch creation, style control, and flexible sizing.

Enables AI assistants to search, generate, and manipulate u-he synth presets through natural language, including browsing libraries, randomizing presets, and merging multiple presets.

Enables AI clients to drive local video editing projects through a CEP bridge, covering media ingest, sequence and timeline editing, effects, keyframes, captions, markers, audio, color, and exports across hundreds of discoverable tools. Ships context resources, guided prompts, and higher-level assembly workflows for agent-driven editing.

Identify and remove AI provenance metadata (C2PA, EXIF, IPTC, XMP, TC260), visible AI-generator labels and supported invisible watermarks from images and video you generated yourself. Runs locally over stdio with uvx.

MCP server for Jianying (CapCut) AI-assisted editing, enabling natural language-driven draft generation, reference reuse, and batch template creation with safety checks.

A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.

Enables Codex to inspect a native After Effects project, make scoped edits, and render frames for review through a local macOS bridge. It exposes MCP tools that drive a named After Effects worker without requiring an in-app panel or separate chat client.

Enables MCP-compatible agents to split a finished song into vocals, drums, bass, and other stems using local Demucs or a remote command, with asynchronous job status and cancellation.

Enables AI agents to inspect and control Q-SYS audio/video systems via the QRC protocol over TCP, against a real Core or Q-SYS Designer emulator.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.

Enables AI assistants to inspect, triage, and safely retry media-processing jobs through read/write tools, runbook search, and media probing, with OAuth scopes, rate limiting, idempotency, PII redaction, and human approval before changes.

Connects AI agents to a creative platform's canvas, image, video, audio, subject, and storyboard capabilities, enabling natural-language parameter lookup, job submission and tracking, credit-controlled execution, and asset retrieval.

Enables Claude Code to transcribe audio and video files using the Speechmatics Batch API, with support for speaker diarization, batch processing, and searching transcripts.

A local text-to-image generation server that enables AI agents to generate images, manage models, and browse history using the Z-Image-Turbo model. It supports hardware acceleration across NVIDIA, Apple Silicon, and AMD GPUs via multiple MCP transport protocols.

Enables AI assistants to build, animate, inspect, and script fully editable Adobe After Effects projects through a bridge panel, including frame and storyboard review.

Enables AI agents to monitor, manage, and operate a Tdarr transcoding farm by inspecting nodes, workers, queues, libraries, plugins, and job reports, and by triggering scans, requeues, and worker actions.

Open-source MCP server for AI image and video creation, enabling prompt library search, prompt enhancement, and media generation from Claude Code, Cursor, and other MCP hosts.

Enables video generation through OpenAI's Sora 2 API, allowing users to create, monitor, and manage AI-generated videos. It also provides tools for merging video clips and creating fade animations from static images using FFmpeg.

Enables AI assistants to transcribe audio files from URLs or local paths using AssemblyAI's services, with support for speaker diarization, language detection, and asynchronous job management through a standardized MCP interface.

Enables AI assistants to operate Adobe After Effects with the dexterity of an editor: reading projects, creating and rigging layers, setting real velocity curves, animating text, building native SVG-based shapes, applying effects, expressions, masks, and viewing render snapshots to verify results.