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Editclips

Processes video, audio, and images for AI agents with conversion, transcription, upscaling, and 150+ operations.

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Install Editclips

Pick your client, then add it in one click or paste the config.

SSE (Remote)
Server URL
https://editclips.online/docs/guides/mcp

Remote servers are added in the app, not the config file: Customize → Connectors → Add custom connector, then paste this URL.

Overview

Editclips MCP server gives AI agents access to video, audio, and image processing operations. It supports media conversion, transcription, and upscaling among more than 150 listed operations. Reach for it when an agent needs to transform or analyze media through an MCP-compatible workflow.

Use cases

  • Convert media files between supported formats
  • Transcribe spoken content from audio or video
  • Upscale supported images or video
  • Process multimedia as part of an AI agent workflow

Key features

  • Video processing
  • Audio processing
  • Image processing
  • Media conversion
  • Audio and video transcription
  • Image and video upscaling

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

5/5 checks healthy over the last 44d

How Editclips works

What Editclips MCP server does

Editclips MCP server provides AI agents with access to processing for three media categories: video, audio, and images. The available description lists more than 150 operations, including conversion, transcription, and upscaling. This places the server in the 🎥 Multimedia Process category and makes it relevant to workflows where an agent must work with media rather than only text or structured data.

The source identifies Editclips as an MCP server and links to an MCP guide. The description does not specify a particular programming language, transport, operating system, or client application.

Tools and capabilities

The Editclips MCP server covers several broad processing tasks:

  • Converting media between supported formats or representations.
  • Transcribing supported audio or video content.
  • Upscaling supported visual media.
  • Processing video, audio, and image inputs through a catalog of more than 150 operations.

These capabilities can support agents that need to prepare media, extract spoken content, improve image or video resolution, or perform other operations from the available catalog. Those details should be checked in the Editclips MCP documentation before implementation.

Limitations and notes

The available listing is brief, and the repository README is unavailable. As a result, the Editclips MCP server’s installation procedure, configuration fields, authentication model, runtime requirements, and transport details cannot be confirmed here.

The source also does not name compatible MCP clients such as Claude Desktop, Cursor, or other agent applications. Client compatibility should therefore be verified against the linked MCP guide. Similarly, the license is not stated, so licensing terms should be reviewed in the project’s documentation before redistribution or commercial deployment.

Use the Editclips MCP server when the required task is clearly within video, audio, or image processing and the relevant operation is available in its catalog. For production use, confirm the exact operation names, media constraints, error behavior, and resource requirements from the official documentation.

Read the full README

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Frequently Asked Questions about Editclips

Editclips is an MCP server that connects AI agents to video, audio, and image processing and provides tools for conversion, transcription, upscaling, and more than 150 listed operations. It is intended for agents that need to process these media types through the Editclips MCP interface rather than a single media format.

Editclips processes video, audio, and images.

Yes, transcription is listed as one of Editclips’s supported operations.

Editclips provides more than 150 media-processing operations. The available description names conversion, transcription, and upscaling as examples but does not provide the complete operation list.

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