everything-search-mcp

everything-search-mcp

Enables AI assistants to search local files on Windows using the Everything search engine, supporting basic and complex file searches with filters like date, size, media type, and document type.

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README

Everything MCP

基于 Everything 搜索引擎的 MCP (Model Context Protocol) 服务器。让你的 AI 助手(如 Claude、Kiro 等)能够快速搜索本地文件。

前置要求

  • Windows 系统(Everything 仅支持 Windows)
  • Everything 已安装并正在运行
  • uv 已安装(提供 uvx 命令)

MCP 配置

Claude Desktop

编辑 Claude Desktop 配置文件(通常位于 %APPDATA%\Claude\claude_desktop_config.json):

{
  "mcpServers": {
    "everything": {
      "command": "uvx",
      "args": ["everything-search-mcp"],
      "disabled": false
    }
  }
}

Kiro

在项目根目录或用户目录下创建 .kiro/settings/mcp.json

{
  "mcpServers": {
    "everything": {
      "command": "uvx",
      "args": ["everything-search-mcp"],
      "disabled": false
    }
  }
}

Cursor

编辑 ~/.cursor/mcp.json

{
  "mcpServers": {
    "everything": {
      "command": "uvx",
      "args": ["everything-search-mcp"],
      "disabled": false
    }
  }
}

OpenCode

编辑项目根目录下的 opencode.json(或全局配置):

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "everything": {
      "type": "local",
      "command": ["uvx", "everything-search-mcp"],
      "enabled": true
    }
  }
}

VS Code (Copilot)

.vscode/settings.json 中添加:

{
  "mcp": {
    "servers": {
      "everything": {
        "command": "uvx",
        "args": ["everything-search-mcp"]
      }
    }
  }
}

提供的工具

get_current_date

获取当前日期(YYYY-MM-DD 格式),方便在日期筛选时使用。

get_everything_info

获取 Everything 的版本、数据库加载状态和管理员权限信息。

search

基础搜索工具,支持以下参数:

参数 类型 默认值 说明
query_string str 必填 搜索关键词
match_case bool False 区分大小写
match_path bool False 匹配完整路径
match_whole_word bool False 全词匹配
regex bool False 启用正则表达式
sort_type int 1 排序方式(见下方说明)
max_results int 10 最大返回数量
return_properties list 默认字段 返回的字段列表

complex_search

高级组合搜索,通过 filters 列表组合多种过滤条件。

基础参数:

参数 类型 默认值 说明
keywords list[str] [] 搜索关键词列表,如 ["test.py", "hello"]
filters list[dict] [] 过滤器列表,详见下方
match_case bool False 区分大小写
match_path bool False 匹配完整路径
match_whole_word bool False 全词匹配
regex bool False 启用正则表达式
sort_type int 1 排序方式(见排序类型参考)
max_results int 10 最大返回数量
return_properties list[str] 默认字段 返回的字段列表

每个 filter 是一个 {"type": "...", "params": ...} 结构,支持以下类型:

file_filter — 文件属性过滤

params 键 类型 说明
with_extensions list[str] 扩展名列表,如 [".py", ".txt"]
with_size_range dict {"min_size": 字节数, "max_size": 字节数}
with_content str 文件内容关键词(仅文本文件)
duplicates_only bool 是否仅显示重复文件
{"type": "file_filter", "params": {"with_extensions": [".py"], "with_content": "import"}}

date_filter — 日期过滤

params 键 类型 说明
by_date str "modified_date" / "created_date" / "accessed_date"
in_range list[str] ["开始日期", "结束日期"],格式 YYYY-MM-DD
{"type": "date_filter", "params": {"by_date": "modified_date", "in_range": ["2025-01-01", "2025-12-31"]}}

size_filter — 大小过滤

通过 gt(大于)和 lt(小于)设置范围,单位为字节。

params 键 类型 说明
gt int 最小字节数
lt int 最大字节数
{"type": "size_filter", "params": {"gt": 104857600}}

media_filter — 媒体文件过滤

params 键 类型 可选值
file_type str "image" / "audio" / "video" / "all"
{"type": "media_filter", "params": {"file_type": "video"}}

document_filter — 文档文件过滤

params 键 类型 可选值
file_type str "office" / "pdf" / "text" / "all"
{"type": "document_filter", "params": {"file_type": "pdf"}}

使用示例

配置完成后,你可以直接在 AI 对话中使用自然语言搜索文件:

"帮我找一下桌面上所有的 PDF 文件"

"搜索最近一周修改过的 Python 文件"

"找出所有大于 100MB 的视频文件"

"在 D 盘搜索包含 config 的 yaml 文件"

AI 助手会自动调用对应的 MCP 工具完成搜索。

排序类型参考

说明 说明
1 名称升序 2 名称降序
3 路径升序 4 路径降序
5 大小升序 6 大小降序
7 扩展名升序 8 扩展名降序
9 类型名称升序 10 类型名称降序
11 创建日期升序 12 创建日期降序
13 修改日期升序 14 修改日期降序
15 属性升序 16 属性降序
17 文件列表文件名升序 18 文件列表文件名降序
19 运行次数升序 20 运行次数降序
21 最近更改日期升序 22 最近更改日期降序
23 访问日期升序 24 访问日期降序
25 运行日期升序 26 运行日期降序

开发

git clone https://github.com/miloira/everything-search-mcp.git
cd everything-search-mcp
uv sync

本地测试运行:

uv run everything-search-mcp

License

MIT

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