# everything-mcp

> everything-mcp — ningciqiu-everything-mcp. Use this tool when you need to instantly discover Windows files and folders, as it provides AI agents with rapid file system querying capabilities through integration with Voidtools Everything, accepting search queries as input and returning relevant file and folder information as output, ideal for use cases requiring efficient file system exploration and discovery. It solves problems related to slow or cumbersome file searches, enabling faster and more accurate results. This tool is particularly useful in contexts where rapid file system introspection is necessary, such as data retrieval or automation tasks.

Canonical page: https://skillsregistry.net/skills/ningciqiu-everything-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ningciqiu-everything-mcp

## Description

A small, dependency-light MCP server that gives AI agents instant Windows file and folder discovery through Voidtools Everything.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/up6zx31sbf)
- **Repository:** <https://github.com/NingCiQiu/everything-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": "ningciqiu-everything-mcp"
    }
  }
}
```

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

---
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