Upload a video from a URL. Returns a video_id. Local file paths are not accepted; upload files outside the MCP server and pass a reachable video_url. The upload runs asynchronously — poll get_video until status is 'uploaded', then call index_video to enable search and analysis.
List all videos in your account, or filter to a specific group by passing group_id. Shows upload status and which features have been indexed for each video. Each video's 'url' is a short-lived HTTPS presigned URL (expires within hours) — fetch immediately and do not store; call list_videos or get_vi
Get detailed information about a video including upload status, metadata (duration, resolution, fps), and per-feature indexing status. Use this to check if upload or indexing is complete. The 'url' field is a short-lived HTTPS presigned URL (expires within hours) — fetch immediately and do not store
Update a video's display name, title, description, or move it to a different group. At least one field must be provided. To remove a video from its group, pass group_id as null.
Index a video for search, QA, or full analysis. Processes the video through a pipeline of AI features. Typically takes 3-7 minutes; longer for long videos or the 'full' pipeline. Times out after 10 minutes by default.
Pipelines:
- search_only: transcription + captions + embeddings (enables search_v
Find WHEN and WHERE something happens across your videos. Returns timestamped results ranked by relevance — use these timestamps as start/end in ask_video for focused analysis.
This is the recommended first step for most questions. Instead of asking ask_video about the entire video, search first to
Ask a question about one or more videos with visual analysis. Most effective on focused time ranges — use start/end to specify the segment to analyze.
BEFORE calling this tool, read the reka://docs/guide resource for recommended workflows. In most cases, you should first:
- search_videos to find WH
Detect objects in a video segment using text prompts. Describe what to look for and get per-frame detections with bounding boxes and confidence scores.
Prompt tips:
- Use broad, visual categories: 'animal', 'vehicle', 'person', 'text on screen'
- Specific labels ('rabbit', 'Toyota') are less reliab
Get the spoken words in a video. Use this instead of ask_video when you need to read what was said — it returns the actual text, not a summary.
Use start/end to narrow results for long videos.
Requires the transcript feature to be indexed.
Get AI-generated visual descriptions of what happens on screen. Use this to understand the visual content without watching — each caption describes a short segment with timestamps.
Use start/end to narrow results.
Requires the captions feature (qa_only or full pipeline).
Get detected scene boundaries with start/end timestamps. Use this to understand the video's structure, then pass scene timestamps as start/end to:
- ask_video for per-scene contextual analysis
- segment_video to detect specific objects per scene (scenes typically fit in segment_video's 15s max range
List available video analysis features with their dependencies and descriptions. Use this to understand what features exist and what pipelines to use with index_video.
Start here. Get a compact overview of a video: metadata, which features are indexed, a transcript preview, and scene count. Use this to decide which tools to call next — then use segment_video to detect specific objects in time ranges of interest.
FAQ
Questions
How do I install Reka?
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Reka need an API key?
No required environment variable is listed on this record.
What transport does Reka use?
Reka is reached over HTTP.
When was Reka last checked?
Last checked 2026-10-19. Understand your videos with Reka AI — search, ask questions, and extract insights.
From the publisher
Documentation
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Understand your videos with Reka AI — search, ask questions, and extract insights.
