# ollama-mcp-server

> ollama-mcp-server — zairbulos-ollama-mcp-server. Use this tool when you need to manage and track local AI models, as it provides a centralized server to list all installed models via Ollama, accepting input requests and returning a list of available models as output. This tool solves problems related to model discovery and inventory management, streamlining AI development workflows. It is particularly useful in contexts where multiple AI models are deployed locally, such as in machine learning development environments.

Canonical page: https://skillsregistry.net/skills/zairbulos-ollama-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/zairbulos-ollama-mcp-server

## Description

MCP server that exposes a tool to list all AI models installed locally via Ollama

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/ZairBulos/ollama-mcp-server)

## 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": "zairbulos-ollama-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zairbulos-ollama-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zairbulos-ollama-mcp-server/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