# ai.seendb/seendb

> ai.seendb/seendb — ai-seendb-seendb. Use this tool when you need to efficiently search and retrieve specific information from a vast library of videos. It solves problems related to video content analysis by providing a searchable database of transcripts, keyframes, and on-screen text, enabling agents to quickly find relevant information. Ideal for use cases where video data needs to be indexed, queried, or analyzed, with inputs including video libraries and outputs featuring relevant search results.

Canonical page: https://skillsregistry.net/skills/ai-seendb-seendb  
JSON: https://api.skillsregistry.net/v1/skills/ai-seendb-seendb

## Description

Video knowledge base for agents: search your library's transcripts, keyframes and on-screen text.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.seendb%2Fseendb)

## Use it

MCP endpoint published by the skill: `https://api.seendb.ai/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-seendb-seendb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-seendb-seendb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-seendb-seendb/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt