# jevreel

jevreel searches video for moments tied to a question, checks promising frames, and returns timestamps with probabilities. Use it to locate an action, spoken line, or on-screen text.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 45
- Author: DeepAleph
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/DeepAleph/jevreel
- Updated: 2026-10-17
- HTML: https://affpapa.org/en/nevibecode/mcp/jevreel

## What it does

The server arranges video frames into contact sheets and sends them to Jev for question-based evaluation. It rechecks promising sections against full-resolution frames, then gives the agent the matching moments to inspect further. It does not create or keep vector embeddings.

Search can use the video, captions, or a local speech transcript. You can also look for a person using a reference photo. Frame extraction relies on `ffmpeg`, and the server needs a `TYPESAFE_API_KEY`; without `ffmpeg` available, video processing will fail.

## Requirements
- Needs: Python and uv (commands run via uvx)
- Environment variables: `TYPESAFE_API_KEY` — keys and tokens: ask the human for the values, never commit them or put them in shared files.

## Install

### Claude Code (native platform)

**Platform CLI**
```bash
claude mcp add jevreel -e TYPESAFE_API_KEY=<TYPESAFE_API_KEY> -- uvx jevreel
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from jevreel <command>

### Codex

**Platform CLI**
```bash
codex mcp add jevreel --env TYPESAFE_API_KEY=<TYPESAFE_API_KEY> -- uvx jevreel
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from jevreel <command>

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "jevreel": {
            "command": "uvx",
            "args": [
                "jevreel"
            ],
            "env": {
                "TYPESAFE_API_KEY": "<TYPESAFE_API_KEY>"
            }
        }
    }
}
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from jevreel <command>

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "jevreel": {
            "type": "stdio",
            "command": "uvx",
            "args": [
                "jevreel"
            ],
            "env": {
                "TYPESAFE_API_KEY": "<TYPESAFE_API_KEY>"
            }
        }
    }
}
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from jevreel <command>

### Gemini CLI

**Platform CLI**
```bash
gemini mcp add -e TYPESAFE_API_KEY=<TYPESAFE_API_KEY> jevreel uvx jevreel
```
Replace <…> with your own values. uvx runs the command named after the package; if the README names another one, use uvx --from jevreel <command>

## When to use it
- locate a specific action in a video
- find a spoken line in captions or a transcript
- read a headline or sign on screen
- track a person’s appearances from a reference photo
- map scenes using custom questions

## Example prompts
- Find the moment when someone drinks from a juice box and give me its timestamp.
- Search the captions for the apology and report when it happens.
- Find every scene featuring the person in `captain.jpg`.

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