# VisionatorMCP

> VisionatorMCP — tyrannmisu-visionatormcp. Use this tool when you need to enable image analysis capabilities for models lacking vision or multimodal support. The VisionatorMCP server utilizes local Ollama vision models to process images, providing a solution for agents with limited multimodal capabilities. It accepts image inputs and outputs analysis results, ideal for use cases requiring visual data interpretation in applications with restricted model support.

Canonical page: https://skillsregistry.net/skills/tyrannmisu-visionatormcp  
JSON: https://api.skillsregistry.net/v1/skills/tyrannmisu-visionatormcp

## Description

An MCP server for agents that enables models without vision/multimodal support to analyze images using local Ollama vision models.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Tyrannmisu/VisionatorMCP)

## 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": "tyrannmisu-visionatormcp"
    }
  }
}
```

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