MCP serverai.reka/mcp
Understand your videos with Reka AI — search, ask questions, and extract insights.
Overview
Score?
UNRATED 0.800
of what a free look can see, on 31 looks
Looks
36
last 8 hr ago
Tools
17
More info
URL
mcp.reka.ai/mcp
streamable-http
Says it is
reka-vision 0.1.10
protocol 2025-06-18
In the record since
32 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.800 · highest on record 0.8561
Toolsfrom sha256:cc82fd0267…cad59a
| Tool | Schema |
|---|---|
| ask_video 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, re |
input · output |
| create_group Create a new video group. Groups organize videos into collections. Returns the new group's ID and name. |
input · output |
| delete_group Delete a video group. Videos in the group are not deleted — they are simply removed from the group. |
input · output |
| delete_video Permanently delete a video and all its indexed data (transcript, captions, embeddings, etc.). This cannot be undone. |
input · output |
| get_captions 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. |
input · output |
| get_feature_catalog 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. |
input · output |
| get_scenes 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 context |
input · output |
| get_transcript 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 |
input · output |
| get_video 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 co |
input · output |
| index_video 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. T |
input · output |
| list_groups List all video groups. Use list_videos with a group_id to see videos in a specific group. |
input · output |
| list_videos 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 |
input · output |
| search_videos 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.
Th |
input · output |
| segment_video 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, v |
input · output |
| summarize_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 s |
input · output |
| update_video 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. |
input · output |
| upload_video 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 |
input · output |
Verify it yourself
npx teppi-check https://mcp.reka.ai/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ22KW8A39C68Z2N6H4ZM3