# MCP Ollama

> Use this tool when you need to leverage local AI models for informed decision-making or automated tasks, as it integrates with MCP clients to list models, view model details, and query models for specific answers. This integration solves problems related to model management and knowledge retrieval, providing a streamlined interface for users to interact with AI models. It takes model queries as input and returns relevant answers or model information as output.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-mcp-ollama  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-mcp-ollama

## Description

Integrates Ollama's local AI models with MCP clients, enabling listing models, viewing model details, and asking questions to models.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d2xtmdvxuy)
- **Repository:** <https://github.com/fastmcp-me/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": "fastmcp-me-mcp-ollama"
    }
  }
}
```

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