MCP Server
What is MCP?
MCP (Model Context Protocol) is an open standard that lets AI agents and LLMs interact with external tools through a unified interface. MediaCopilot exposes its full set of capabilities through an MCP Server, so any MCP-compatible AI assistant can manage your video production workflows.
How it works
Connect
Point your MCP-compatible client (Claude Desktop, Cursor, or any MCP host) to the MediaCopilot MCP Server using your API credentials.
Instruct
Give the AI agent natural-language instructions — "transcribe and subtitle the latest uploads in Spanish and French" or "find all clips mentioning quarterly results and create a highlight reel."
Execute
The agent translates your instructions into MediaCopilot API calls, chains multiple capabilities together, and monitors job progress automatically.
Review
Review outputs in the MediaCopilot app or receive results through your agent interface.
Use cases
- Automated ingest — Monitor a folder or feed and trigger transcription + subtitling for new content.
- Editorial assistant — Use smart search to find clips, generate highlight reels, and prepare content briefs.
- Multilingual publishing — Orchestrate transcription, translation, dubbing, and publishing in a single pipeline.
- Archive enrichment — Batch-process large archives with metadata enrichment and semantic tagging.
- Custom workflows — Build multi-step pipelines that combine any MediaCopilot capability with external tools.
Available tools
The MCP Server exposes the following MediaCopilot capabilities as tools:
| Tool | Description |
|---|---|
| Asset management | Create, list, and retrieve media assets |
| Transcription | Start transcription jobs and retrieve results |
| Translation | Translate transcripts into target languages |
| Dubbing | Generate dubbed audio tracks |
| Clip generation | Create video clips with reframing and branding |
| Smart Search | Search across your library using natural language |
| Metadata | Retrieve enriched metadata (speakers, entities, topics) |
| Publishing | Publish clips to connected social media accounts |
| Collections | Organize assets into collections |
| Templates | Apply processing templates to assets |
Getting started
For more on what the AI Agent can do with natural-language prompts, see the AI Agent overview and prompt examples.

