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Clutter

@michaelhologram

关于 Clutter

Synthetic data generator MCP server. Generates realistic companies, documents, and structured data — e.g. to populate SharePoint/test/demo systems. 19 tools, stdio, requires CLUTTER_API_KEY.

基本信息

分类

开发工具

传输方式

stdio

发布者

michaelhologram

提交者

michaelhologram

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "clutter": {
      "command": "npx",
      "args": [
        "-y",
        "clutter-mcp"
      ],
      "env": {
        "CLUTTER_API_KEY": "<YOUR_CLUTTER_API_KEY>"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Clutter?

Clutter is an MCP (Model Context Protocol) server for generating realistic synthetic data. It creates companies, documents, and other structured data, and is designed for populating systems like SharePoint, test environments, or demo systems.

How to use Clutter?

The server runs over the stdio transport and requires a CLUTTER_API_KEY environment variable to be set. It exposes 19 tools for data generation. No installation steps or specific commands are detailed in the README.

Key features of Clutter

  • Generates realistic companies, documents, and structured data
  • Provides 19 distinct tools for synthetic data creation
  • Runs over the stdio transport protocol
  • Requires an API key for authentication

Use cases of Clutter

  • Populating SharePoint sites with realistic sample data
  • Filling test environments with consistent, non‑sensitive data
  • Creating demo datasets for presentations or evaluations

FAQ from Clutter

What transport does Clutter use?

Clutter uses the stdio transport, which is the standard method for MCP servers running as subprocesses.

Is authentication required to use Clutter?

Yes, the server requires the CLUTTER_API_KEY environment variable to be set before it will accept requests.

How many tools does Clutter provide?

Clutter exposes 19 tools for generating different types of synthetic data.

What kind of data can Clutter generate?

Clutter can generate realistic companies, documents, and other structured data, suitable for populating SharePoint, test systems, or demo environments.

评论

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