# Ollama

> Use this tool when you need to integrate local LLM models with MCP-compatible applications, enabling seamless interaction and utilization of AI capabilities while maintaining data control and reducing cloud dependencies. It provides a standardized interface for listing, pulling, and interacting with models, allowing for on-premise AI processing and custom model deployment. Ideal for developers and organizations seeking to leverage local LLM capabilities within their AI workflows.

Canonical page: https://skillsregistry.net/skills/rawveg-ollama  
JSON: https://api.skillsregistry.net/v1/skills/rawveg-ollama

## Description

This MCP server, developed by tigreen, provides a seamless integration between Ollama's local LLM models and MCP-compatible applications like Claude Desktop. Built with TypeScript and Express, it offers tools for listing, pulling, and interacting with Ollama models through a standardized interface. The implementation focuses on simplifying access to Ollama's capabilities, enabling AI assistants to utilize locally-run language models. By connecting AI models with Ollama's functionalities, this server allows for sophisticated scenarios like on-premise AI processing, custom model deployment, and privacy-focused applications. It's particularly valuable for developers and organizations looking to leverage local LLM capabilities within their AI workflows while maintaining data control and reducing cloud dependencies.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rawveg-ollama)
- **Repository:** <https://github.com/rawveg/ollama-mcp>

## 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": "rawveg-ollama"
    }
  }
}
```

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