# VAAS

> VAAS — mjgleason3-vaas. Use this tool when you need to efficiently search and retrieve specific frames from large image and video datasets. VAAS solves problems related to visual data management, enabling AI agents to quickly index, inspect, and track visual content. It accepts image and video inputs and outputs specific frames or sequences, ideal for applications requiring rapid visual data retrieval and analysis.

Canonical page: https://skillsregistry.net/skills/mjgleason3-vaas  
JSON: https://api.skillsregistry.net/v1/skills/mjgleason3-vaas

## Description

Provides a visual memory and attention layer for AI agents, enabling indexing of images and videos and then searching, inspecting, tracking, and retrieving the right frame in milliseconds via MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ksg427rva1)
- **Repository:** <https://github.com/mjgleason3/vaas>

## Use it

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": "mjgleason3-vaas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mjgleason3-vaas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mjgleason3-vaas/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