_ registry / mcp http-sse · checked 1h ago

reka-vision

https://mcp.reka.ai

Registry code: f1ed5cc4da76bf69

api record

Understand your videos with Reka AI — search, ask questions, and extract insights.

from a public catalogue that lists it, not from the operator

endpoint
https://mcp.reka.ai/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is reka-vision live?
Yes — it answered the hub's last check (checked 1h ago). It answered 99% of checks over the last 30 days.
Is reka-vision free to use?
Not anonymously — it asks for a key or a login before it will serve. Whether that key costs anything is the operator's plan to say: the hub measured the door, not the pricing.
What tools does reka-vision have?
17 tools: ask_video, segment_video, get_transcript, get_video, search_videos, summarize_video, get_scenes, get_captions, ….
Is reka-vision safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.3%

90 days 99.2%· all time 99.2%

latency
254ms

last good check

priced tools
0

of 17 tools

_ answered our checks, 90 days 624 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· timeout after 20000ms
  • down → live
_ what it is for
topic
media understanding vision & image analysis
used for
  • ask questions about a video
  • search inside videos
  • get a video transcript
  • summarize a video
  • detect objects in a video segment
takes → gives
video, text → text, data
tools
11 reads6 changes data
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 17 tools
9 auth-required 8 never probed 9 of 17 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • list_videos reads auth-required 20h ago

    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_video again for a fresh URL when needed.

    mcp-tool

    {
  "type": "object",
  "title": "list_videosArguments",
  "properties": {
    "group_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Group Id",
      "default": null
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    }
  }
}
    arguments 30 lines
  • upload_video changes data auth-required never probed

    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.

    mcp-tool

    {
  "type": "object",
  "title": "upload_videoArguments",
  "required": [
    "video_url"
  ],
  "properties": {
    "name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Name",
      "default": null
    },
    "group_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Group Id",
      "default": null
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    },
    "video_url": {
      "type": "string",
      "title": "Video Url"
    },
    "description": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Description",
      "default": null
    }
  }
}
    arguments 61 lines
  • update_video changes data auth-required never probed

    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.

    mcp-tool

    {
  "type": "object",
  "title": "update_videoArguments",
  "required": [
    "video_id"
  ],
  "properties": {
    "name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Name",
      "default": null
    },
    "title": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Title",
      "default": null
    },
    "group_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Group Id",
      "default": null
    },
    "video_id": {
      "type": "string",
      "title": "Video Id"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    },
    "move_group": {
      "type": "boolean",
      "title": "Move Group",
      "default": false
    },
    "description": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Description",
      "default": null
    }
  }
}
    arguments 78 lines
  • index_video changes data auth-required never probed

    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_videos) - qa_only: transcription + captions (enables ask_video) - full: transcription + captions + embeddings (enables all tools) Scene detection is enabled by default and produces scene boundaries for get_scenes. Pass scene_detection=False to skip it. Prerequisites: if using video_id, the video must be in 'uploaded' status. Use get_video to check status before calling this tool.

    mcp-tool

    {
  "type": "object",
  "title": "index_video_hostedArguments",
  "required": [
    "video_id"
  ],
  "properties": {
    "pipeline": {
      "enum": [
        "search_only",
        "qa_only",
        "full"
      ],
      "type": "string",
      "title": "Pipeline",
      "default": "search_only"
    },
    "video_id": {
      "type": "string",
      "title": "Video Id"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    },
    "scene_detection": {
      "type": "boolean",
      "title": "Scene Detection",
      "default": true
    }
  }
}
    arguments 40 lines
  • list_groups reads auth-required 20h ago

    List all video groups. Use list_videos with a group_id to see videos in a specific group.

    mcp-tool

    {
  "type": "object",
  "title": "list_groupsArguments",
  "properties": {
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    }
  }
}
    arguments 18 lines
  • delete_group changes data auth-required never probed

    Delete a video group. Videos in the group are not deleted — they are simply removed from the group.

    mcp-tool

    {
  "type": "object",
  "title": "delete_groupArguments",
  "required": [
    "group_id"
  ],
  "properties": {
    "group_id": {
      "type": "string",
      "title": "Group Id"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    }
  }
}
    arguments 25 lines
  • delete_video changes data auth-required never probed

    Permanently delete a video and all its indexed data (transcript, captions, embeddings, etc.). This cannot be undone.

    mcp-tool

    {
  "type": "object",
  "title": "delete_videoArguments",
  "required": [
    "video_id"
  ],
  "properties": {
    "video_id": {
      "type": "string",
      "title": "Video Id"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    }
  }
}
    arguments 25 lines
  • create_group changes data auth-required never probed

    Create a new video group. Groups organize videos into collections. Returns the new group's ID and name.

    mcp-tool

    {
  "type": "object",
  "title": "create_groupArguments",
  "required": [
    "name"
  ],
  "properties": {
    "name": {
      "type": "string",
      "title": "Name"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    }
  }
}
    arguments 25 lines
  • get_feature_catalog reads auth-required 20h ago

    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.

    mcp-tool

    {
  "type": "object",
  "title": "get_feature_catalogArguments",
  "properties": {
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    }
  }
}
    arguments 18 lines
  • ask_video reads unknown 10h ago

    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 WHEN something happens, then pass those timestamps here as start/end - segment_video to detect and locate specific objects - get_transcript to read what was said For single-video questions, pass video_id with start/end. For cross-video questions, pass videos — a list of video references with start/end each. For follow-up questions, pass conversation_id from the previous response. You can add start/end to drill into a specific moment while keeping the conversation context. Requires qa_only or full pipeline.

    mcp-tool

    {
  "type": "object",
  "$defs": {
    "VideoContext": {
      "type": "object",
      "title": "VideoContext",
      "properties": {
        "end": {
          "type": "number",
          "title": "End"
        },
        "start": {
          "type": "number",
          "title": "Start"
        },
        "video_id": {
          "type": "string",
          "title": "Video Id"
        }
      }
    }
  },
  "title": "ask_videoArguments",
  "required": [
    "question"
  ],
  "properties": {
    "end": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "End",
      "default": null
    },
    "start": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Start",
      "default": null
    },
    "videos": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "$ref": "#/$defs/VideoContext"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Videos",
      "default": null
    },
    "question": {
      "type": "string",
      "title": "Question"
    },
    "video_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Video Id",
      "default": null
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    },
    "conversation_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Conversation Id",
      "default": null
    }
  }
}
    arguments 108 lines
  • segment_video reads unknown 10h ago

    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 reliable — the detector matches visual patterns, not semantic concepts - Best for confirming whether a category of object appears in a time window, not for precise identification How to pick a time range: - Use search_videos to find WHEN something appears, then pass those timestamps here - Use get_scenes to scan systematically — call segment_video once per scene (scenes typically fit in the 15s window) - Or pass any range you already know Maximum range is 15 seconds per call; for longer spans, make multiple calls with consecutive windows. Does NOT require any feature indexing — works on any uploaded video.

    mcp-tool

    {
  "type": "object",
  "title": "segment_videoArguments",
  "required": [
    "video_id",
    "prompts",
    "start"
  ],
  "properties": {
    "end": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "End",
      "default": null
    },
    "start": {
      "type": "number",
      "title": "Start"
    },
    "prompts": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Prompts"
    },
    "video_id": {
      "type": "string",
      "title": "Video Id"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    },
    "threshold": {
      "type": "number",
      "title": "Threshold",
      "default": 0.5
    }
  }
}
    arguments 55 lines
  • get_transcript reads unknown 8h ago

    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.

    mcp-tool

    {
  "type": "object",
  "title": "get_transcriptArguments",
  "required": [
    "video_id"
  ],
  "properties": {
    "end": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "End",
      "default": null
    },
    "start": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Start",
      "default": null
    },
    "format": {
      "enum": [
        "text",
        "segments",
        "words"
      ],
      "type": "string",
      "title": "Format",
      "default": "text"
    },
    "video_id": {
      "type": "string",
      "title": "Video Id"
    },
    "max_chars": {
      "type": "integer",
      "title": "Max Chars",
      "default": 10000
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    },
    "max_results": {
      "type": "integer",
      "title": "Max Results",
      "default": 100
    }
  }
}
    arguments 69 lines
  • get_video reads unknown 1h ago

    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; call get_video again for a fresh URL when needed.

    mcp-tool

    {
  "type": "object",
  "title": "get_videoArguments",
  "required": [
    "video_id"
  ],
  "properties": {
    "video_id": {
      "type": "string",
      "title": "Video Id"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    }
  }
}
    arguments 25 lines
  • search_videos reads unknown 1h ago

    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 narrow down the relevant moments. Each result's 'video_url' is a short-lived HTTPS presigned URL (expires within hours) — fetch immediately and do not store; call search_videos or get_video again for a fresh URL when needed. Requires search_only or full pipeline.

    mcp-tool

    {
  "type": "object",
  "title": "search_videosArguments",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "title": "Query"
    },
    "group_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Group Id",
      "default": null
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    },
    "video_ids": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Video Ids",
      "default": null
    },
    "max_results": {
      "type": "integer",
      "title": "Max Results",
      "default": 10
    }
  }
}
    arguments 57 lines
  • summarize_video reads unknown 10h ago

    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.

    mcp-tool

    {
  "type": "object",
  "title": "summarize_videoArguments",
  "required": [
    "video_id"
  ],
  "properties": {
    "video_id": {
      "type": "string",
      "title": "Video Id"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    }
  }
}
    arguments 25 lines
  • get_scenes reads unknown 8h ago

    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) Requires transcript indexed with scene detection (on by default; skipped only if index_video was called with scene_detection=False).

    mcp-tool

    {
  "type": "object",
  "title": "get_scenesArguments",
  "required": [
    "video_id"
  ],
  "properties": {
    "video_id": {
      "type": "string",
      "title": "Video Id"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    },
    "max_results": {
      "type": "integer",
      "title": "Max Results",
      "default": 200
    }
  }
}
    arguments 30 lines
  • get_captions reads unknown 1h ago

    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).

    mcp-tool

    {
  "type": "object",
  "title": "get_captionsArguments",
  "required": [
    "video_id"
  ],
  "properties": {
    "end": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "End",
      "default": null
    },
    "start": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Start",
      "default": null
    },
    "video_id": {
      "type": "string",
      "title": "Video Id"
    },
    "rationale": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rationale",
      "default": null
    },
    "max_results": {
      "type": "integer",
      "title": "Max Results",
      "default": 50
    }
  }
}
    arguments 54 lines
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