# ollapal

> ollapal — tobert-ollapal. Use this tool when you need to manage and integrate tool usage and vision capabilities with Ollama, leveraging git functionality to streamline workflows and enhance productivity. It solves problems related to tool coordination and vision management, providing a centralized server for efficient operation. Ideal for use cases requiring seamless tool integration and version control, with inputs including tool commands and outputs including vision data and workflow updates.

Canonical page: https://skillsregistry.net/skills/tobert-ollapal  
JSON: https://api.skillsregistry.net/v1/skills/tobert-ollapal

## Description

An MCP server for Ollama with tool use and vision

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/tobert/ollapal)

## 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": "tobert-ollapal"
    }
  }
}
```

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

---
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