# ModelAtlas

> Use this tool when you need to efficiently search and retrieve open-source AI models based on semantic meaning. ModelAtlas solves the problem of model discovery by providing fast and accurate results, returning scored and ranked models in under 100ms. It takes in directional coordinates and anchors as input, making it ideal for use cases where quick model retrieval is crucial, such as AI model integration and development.

Canonical page: https://skillsregistry.net/skills/rohanvinaik-modelatlas  
JSON: https://api.skillsregistry.net/v1/skills/rohanvinaik-modelatlas

## Description

Enables LLMs to search open-source AI models by semantic meaning using directional coordinates and anchors, returning scored, ranked results in under 100ms.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zngh86fe84)
- **Repository:** <https://github.com/rohanvinaik/ModelAtlas>

## 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": "rohanvinaik-modelatlas"
    }
  }
}
```

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