Valossa Assistant MCP Server — Video Understanding for Claude & AI Agents

Bring Valossa’s multimodal AI video analysis into Claude and your AI agents — ask your video library anything and get answers, soundbites, transcripts, metadata and finished clips. Connect once, upload videos, then just ask — across your whole library.

				
					claude mcp add --transport http valossa https://mcp-assistant.valossa.com/mcp
				
			

What you can ask?

Connect once, then just ask — across your whole library:

How it Works

Three steps from video file to agentic video workflows

1
Connect

Add the server to your MCP client and sign in with OAuth (the server never sees your password).

2
Upload & Ask

Upload videos for analysis, then ask for clips and insights from your library in plain language.

3
Get Answers & Clips

Timestamped answers, soundbites, transcripts, metadata, chapters, summaries and ready-to-use clips. Runs on your existing plan’s quota.

Your agent does the asking → Valossa’s video agent does the watching, listening and understanding — and exports the finished clip. 
It even hands results back in the format you need: clips, transcripts and captions from Valossa, plus FCPXML, CSV or JSON that Claude assembles for your editor or pipeline.

Add it to your client (install)

Claude Code:

				
					```
claude mcp add --transport http valossa https://mcp-assistant.valossa.com/mcp
```
				
			

Other JSON-config clients:

				
					```
{ "mcpServers": { "valossa": { "type": "http", "url": "https://mcp-assistant.valossa.com/mcp" } } }
```
				
			

Works with

Claude · Claude Code · Claude Desktop · Cursor · OpenCode · any MCP-compatible client.

Understand and Produce

Mst video tools stop at search; Valossa also exports finished, captioned, reframed clips.

valossa ad scout product being displayed on a laptop

EU-based & GDPR-compliant

Your uploaded content is stored and processed in the EEA and isn’t used to train our AI models unless you opt in.

Proprietary Multimodal Engine

 A decade of in-house video AI (speech, visuals, audio, on-screen text, faces, moods, structure), not a GPT wrapper.

				
					Me: Are there any sensitive scenes in this video?

Assistant: 
Here are segments from the video containing violence, weapons, threats, explicit language, substance use, injury, death, and other sensitive material:

Dark injury scene
00:00:58 - 00:01:02

Very dark outdoor scene; ground is uneven; content involves blood, open wound, bruise (injury and violence present).

Ski resort gun threat
00:03:36 - 00:03:41

Outdoor dining at a ski resort; gloved hand holding a black revolver, very tense moment (weapons and threat present).
....
				
			

Give your AI agent video understanding

Valossa Assistant — A Video Agentic SaaS with RAG, Chat, Clip and AI editing tools

				
					Prompt: "Find a scene with suspense and intrigue"

Response: 
00:00:58 - 00:01:02: A man in a trench coat is threatening with a gun, ominous dark setting, harmful dialogue, suspenseful music, expressions of anger and displeasure.
				
			

Not a developer or need an UI for your video agent? Try Valossa Assistant — a conversational agentic AI application for video analysis including RAG, clipping and prompt-based video task assignmnts. Ask questions about your videos, search transcripts, extract clips, and generate reports using natural language.

No code required. Upload a video and start asking. Assistant watches and listens through video content using Valossa AI and turns it into answers, insights, meta assets, text descriptions, clips — complex task automation.