# Ollama

> Use this tool when you need to integrate local large language model inference into AI workflows, providing a standardized interface for listing models, retrieving details, and generating text completions. It solves problems such as private AI assistance, custom model fine-tuning, and AI-augmented development without relying on cloud APIs. The Ollama MCP server takes API requests as input and outputs model information and generated text, making it ideal for developers and researchers working with locally-run open-source language models.

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

## Description

This MCP server, developed by Matt Green, provides integration with Ollama for local large language model inference. Built using Python and leveraging the MCP CLI, it enables AI assistants to interact with Ollama's API for listing available models, retrieving model details, and generating text completions. The implementation focuses on providing a standardized interface to Ollama's capabilities, making it easier to incorporate local LLM inference into AI workflows. It's particularly useful for developers and researchers who want to leverage locally-run open-source language models, enabling use cases such as private AI assistants, custom model fine-tuning, and AI-augmented development without relying on cloud APIs.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

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

## 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": "emgeee-ollama"
    }
  }
}
```

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