# Ollama MCP Server

> Ollama MCP Server — gxm097-ollama-mcp-workspace. Use this tool when you need to securely manage files for Ollama language models, providing a sandboxed environment with read, write, list, and recoverable delete capabilities within configurable workspace directories. It solves problems related to local file management and security for AI models, allowing for controlled and private data handling. Ideal for use cases requiring isolated and secure file operations, the Ollama MCP Server takes input configurations and model requests, outputting managed file access and modifications.

Canonical page: https://skillsregistry.net/skills/gxm097-ollama-mcp-workspace  
JSON: https://api.skillsregistry.net/v1/skills/gxm097-ollama-mcp-workspace

## Description

A local MCP server that gives Ollama language models sandboxed file management tools—read, write, list, and recoverable delete—within configurable workspace directories, keeping everything local and secure.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zrhhfz868z)
- **Repository:** <https://github.com/gxm097/ollama-mcp-workspace>

## 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": "gxm097-ollama-mcp-workspace"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gxm097-ollama-mcp-workspace` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gxm097-ollama-mcp-workspace/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
