# univer-mcp

> univer-mcp — dream-num-univer-mcp. Use this tool when you need to automate spreadsheet tasks using AI-powered technology, solving problems such as data processing and analysis. It takes input from spreadsheets and outputs automated results through the Model Context Protocol (MCP) server, ideal for use cases involving data-driven decision making. Utilize univer-mcp in contexts where efficient data management and git integration are crucial.

Canonical page: https://skillsregistry.net/skills/dream-num-univer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dream-num-univer-mcp

## Description

AI-powered spreadsheet automation through Model Context Protocol (MCP) server for Univer

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dream-num/univer-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": "dream-num-univer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dream-num-univer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dream-num-univer-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