# Unified MCP Server

> Use this tool when you need to manage and access a wide range of cultural and utility functions, including Chinese poetry, history, fashion styling, and Zhouyi divination, through a single unified interface. It solves problems of fragmented toolsets and provides a comprehensive platform for users to integrate Ollama model management with specialized tools. The Unified MCP Server takes in user requests and outputs results from 26 diverse tools, making it ideal for users seeking a streamlined experience.

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

## Description

A comprehensive MCP server that integrates Ollama model management with specialized tools for Chinese poetry, history, fashion styling, and Zhouyi divination. It provides a single entry point for 26 diverse tools, allowing users to manage local LLMs and access cultural or utility functions through a unified interface.

## Trust

- **Trust score (0–1):** 0.81
- **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:** [Glama](https://glama.ai/mcp/servers/k8qo0ko5fv)
- **Repository:** <https://github.com/qingyunyupan/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": "qingyunyupan-ollama-mcp"
    }
  }
}
```

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