mcpField
H
huoshui-file-search

huoshui-file-search

Local
github.com/huoshuiai42Search0Updated 59w ago

About huoshui-file-search

huoshui-file-search is an MCP file-search server for macOS that uses the Spotlight mdfind index. It supports filters for paths, case sensitivity, regular expressions, sorting, and result limits.

Key features

  1. 01Search files using the Spotlight index
  2. 02Restrict search by path
  3. 03Filter by case or regular expression
  4. 04Sort by name, size, or date
  5. 05Set a result limit
  6. 06Return structured JSON results

Use cases

  1. 01Find documents or media files on a Mac
  2. 02Search only within a specified directory
  3. 03Filter filenames with regular expressions
  4. 04Organize results by file size or date

MCP support

The MCP server exposes macOS Spotlight file search to MCP clients through the search_files tool.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"huoshuiai42-huoshui-file-search": {
"command": "uvx",
"args": [
"huoshui-file-search"
]
}
}
}
Run commanduvx huoshui-file-search

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypihuoshui-file-search1.0.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Huoshui File Search

A Desktop Extension (DXT) that provides fast file search capabilities for macOS using the native mdfind command (Spotlight search).

⚠️ IMPORTANT: This extension only works on macOS systems. Windows and Linux are not supported.

Features

  • Fast file search using macOS Spotlight index
  • Multiple filtering options:
    • Path-based search restrictions
    • Case-sensitive/insensitive search
    • Regular expression matching
    • Sort results by name, size, or date
  • Configurable search limits
  • Clean JSON-structured responses
  • Built with FastMCP framework for optimal performance

Installation

From MCP Registry (Recommended)

This server is available in the Model Context Protocol Registry. Install it using your MCP client.

mcp-name: io.github.huoshuiai42/huoshui-file-search

Via PyPI (Recommended)
uvx huoshui-file-search
From Source
git clone https://github.com/huoshui/huoshui-file-search.git
cd huoshui-file-search
uv sync

Usage

As a Desktop Extension (DXT)
  1. Install the extension via your DXT-compatible application (e.g., Claude Desktop)
  2. The extension will be automatically configured and ready to use
  3. Use the search_files tool with various parameters
Direct Usage
from server.main import search_files, FileSearchParams

# Basic search
params = FileSearchParams(query="report.pdf")
result = await search_files(None, params)

# Search with filters
params = FileSearchParams(
    query="*.py",
    path="/Users/username/Documents",
    case_sensitive=True,
    sort_by="size",
    limit=50
)
result = await search_files(None, params)

Tool Parameters

  • query (required): Search query string
  • path (optional): Directory to limit search scope
  • case_sensitive (optional): Enable case-sensitive search (default: false)
  • regex (optional): Regex pattern to filter results by filename
  • sort_by (optional): Sort results by 'name', 'size', or 'date'
  • limit (optional): Maximum number of results (default: 100, max: 1000)

mdfind Query Syntax

The query parameter uses macOS Spotlight's mdfind syntax:

  • Simple text search: report - finds files containing "report"
  • File kind: kind:pdf, kind:image, kind:movie
  • Filename search: kMDItemFSName == "*.py" - finds Python files
  • Combined queries: invoice AND kind:pdf - finds PDF files containing "invoice"
  • Date queries: date:today, modified:this week

Note: If your query like '寻找工程车' kind:movie returns no results, it might mean:

  1. No files match both criteria
  2. The syntax needs adjustment (try 寻找工程车 AND kind:movie)
  3. Spotlight hasn't indexed the files yet

Examples

Basic File Search
{
  "query": "document.pdf"
}
Search in Specific Directory
{
  "query": "*.txt",
  "path": "/Users/username/Documents"
}
Case-Sensitive Search
{
  "query": "README",
  "case_sensitive": true
}
Search with Regex Filter
{
  "query": "kind:text",
  "regex": "log.*2024.*\\.txt$"
}
Sorted and Limited Results
{
  "query": "*.jpg",
  "sort_by": "size",
  "limit": 20
}

Configuration

The extension supports user configuration through the DXT manifest:

  • allowed_directories: List of directories to limit search scope
  • default_limit: Default maximum number of search results
  • enable_logging: Enable debug logging

Development

Project Structure
huoshui-file-search/
├── manifest.json       # DXT manifest file
├── server/            # MCP server implementation
│   ├── __init__.py
│   ├── __main__.py
│   └── main.py
├── pyproject.toml     # Python package configuration
├── requirements.txt   # Python dependencies
├── LICENSE           # MIT License
└── README.md         # This file
Testing Locally
  1. Install dependencies:

    uv sync
    
  2. Run the server:

    uv run python -m server
    

    Or after publishing to PyPI:

    uvx huoshui-file-search
    
  3. The server will communicate via stdio according to the MCP protocol

Publishing to PyPI
  1. Build the package:

    uv build
    
  2. Upload to PyPI:

    uv publish
    

System Requirements

  • macOS 10.15 or later
  • Python 3.10 or later
  • uv package manager (install with: curl -LsSf https://astral.sh/uv/install.sh | sh)
  • Spotlight indexing enabled

Troubleshooting

"Platform not supported" Error

This extension only works on macOS. Ensure you're running it on a Mac.

"mdfind command not found" Error

Ensure Spotlight is enabled on your Mac. You can check this in System Preferences > Spotlight.

No Search Results
  • Spotlight may still be indexing new files
  • Check if the file path is included in Spotlight's search scope
  • Verify the search query syntax
Search Timeout

Large searches may timeout after 30 seconds. Try:

  • Limiting the search path
  • Using more specific queries
  • Reducing the result limit

License

MIT License - see LICENSE file for details

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Submit a pull request

Support

For issues and feature requests, please visit: https://github.com/huoshui/huoshui-file-search/issues

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.