Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,521Letters: 13Defects: 1,321counted just now
teppi

MCP serverai.reka/mcp

Understand your videos with Reka AI — search, ask questions, and extract insights.
UNRATEDActivestreamable-httpmcp.reka.ai

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

The tools this server lists, read out of the definition it returned
ToolSchema
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 yourselfnpx teppi-check https://mcp.reka.ai/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ22KW8A39C68Z2N6H4ZM3