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Image, video and audio · MCP server

MCP video analyzer: MCP server, setup and security

MCP video analyzer is an open-source MCP server that lets an AI agent extract transcripts, key frames and annotated timelines from videos. Its repository has 102 stars and its last commit is from October 21, 2026 and it is licensed under MIT.

Score
65/100
Adoption (stars) 20/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintained

What MCP video analyzer does

According to its repository: “Video analysis: extract transcripts, key frames, OCR text and annotated timelines from Loom links and direct MP4 or WebM files.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. MCP video analyzer is listed under Image, video and audio, a category of 67 servers in the directory, where it ranks #27 by stars.

Topics declared by the repository: claude, frames, loom, ocr, transcript, video-analysis.

Installing and connecting MCP video analyzer

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to MCP video analyzer. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 9, 2026, the guimatheus92/mcp-video-analyzer repository has 102 stars and 22 forks, with 0 open issues. It has more stars than 67% of the servers in the directory. It received changes this month.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

ScreenpipeScreenpipe : 22.1K22.1KFunASRFunASR : 20.8K20.8KRemove AI WatermarksRemove AI Watermarks : 6.1K6.1KOpenScreenOpenScreen : 4.9K4.9KOpenPostOpenPost : 755755FableCutFableCut : 746746Anki MCP ServerAnki MCP Server : 531531MCP youtube transcriptMCP youtube transcript : 492492MCP video analyzerMCP video analyzer : 102102
GitHub stars of the most followed servers in the category (log scale); MCP video analyzer in orange. Checked October 25, 2026.

Verdict

MCP video analyzer is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Permissive licence (MIT)

Limitations

  • Install from source

Frequently asked questions

How do I install MCP video analyzer?

No package is declared in the MCP registry: clone the guimatheus92/mcp-video-analyzer repository, follow its README, then declare the start command in your client's MCP configuration.

Is MCP video analyzer free?

The code is published under the MIT licence and can be used free of charge.

Is MCP video analyzer safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by guimatheus92 on GitHub. Check who maintains it before giving it access.

What are the alternatives to MCP video analyzer?

In the same category: OpenScreen, Remove AI Watermarks, FunASR, and Oh My Cassette. OpenScreen and Remove AI Watermarks score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score