Everything MCP Server
MCP server for Everything (voidtools) file search
Everything MCP Server
An MCP (Model Context Protocol) server that integrates Everything file search with Claude Desktop. Search your entire Windows filesystem instantly from Claude.
Features
- ⚡ Instant search - Leverages Everything's lightning-fast file indexing
- 🔍 Multiple search modes - Basic, filtered, regex, type-based, attribute-based
- 📁 Folder operations - Search within specific paths, find empty folders
- 📊 Statistics - Get file counts and total sizes without listing files
- 🕐 Recent files - Find recently modified files
- 📋 Duplicate finder - Locate files with the same name
- 💾 Export - Save results to txt, csv, json, and more
Prerequisites
- Windows - Everything only runs on Windows
- Everything must be installed and running
- es.exe (Everything command-line) installed
- Install from: https://github.com/voidtools/es
- Must be in
%LOCALAPPDATA%\Microsoft\WindowsApps
Installation
Using uvx (recommended)
uvx mcp-everything-search
Using pip
pip install mcp-everything-search
Configuration
Add this to your Claude Desktop config file:
Location: %APPDATA%\Claude\claude_desktop_config.json
Using uvx
{
"mcpServers": {
"everything-search": {
"command": "uvx",
"args": ["mcp-everything-search"]
}
}
}
Using pip
{
"mcpServers": {
"everything-search": {
"command": "python",
"args": ["-m", "mcp_everything_search"]
}
}
}
Everything 1.5 Alpha Users
If you're using Everything 1.5 alpha, add the EVERYTHING_INSTANCE environment variable:
{
"mcpServers": {
"everything-search": {
"command": "uvx",
"args": ["mcp-everything-search"],
"env": {
"EVERYTHING_INSTANCE": "1.5a"
}
}
}
}
Then restart Claude Desktop.
Available Tools
Basic Search
| Tool | Description |
|---|---|
search_files | Basic file search with wildcards (*, ?), sorting options |
search_with_filters | Search with extension, size, path filters, files/folders only |
search_regex | Search using regular expressions |
Specialized Search
| Tool | Description |
|---|---|
search_by_type | Search by category: audio, video, image, document, executable, compressed, code |
search_folders | Find only directories |
search_recent_files | Find recently modified files |
search_duplicates | Find files with the same name |
search_by_attributes | Filter by hidden, system, read-only, compressed, encrypted |
search_empty_folders | Find empty directories |
search_large_files | Find files over a specified size |
Utilities
| Tool | Description |
|---|---|
search_with_details | Search with detailed output (size, dates) |
get_result_count | Get count of matches without listing (fast) |
get_total_size | Get total size of all matching files |
open_file_location | Open containing folder in Explorer |
get_file_info | Get file size, dates, and details |
export_search_results | Export to txt, csv, json, m3u, m3u8, tsv, efu |
Example Queries
Ask Claude things like:
- "Find all Python files in D:\Projects"
- "Search for PDF files larger than 10mb"
- "Find images modified in the last 3 days"
- "Look for duplicate files named config.json"
- "Find all video files in my Downloads folder"
- "Search for files matching regex
test_.*\.py$" - "Find empty folders in D:\Archive"
- "What's the total size of all MP3 files?"
- "How many JavaScript files are in this project?"
- "Find hidden files in C:\Windows"
- "Export all log files to a CSV"
Sort Options
Many tools support sort_by parameter:
name,path,size,extensiondate-modified,date-created,date-accessed- Add
-descendingfor reverse order (e.g.,size-descending)
Development
# Clone the repo
git clone https://github.com/essovius/mcp-everything-search.git
cd mcp-everything-search
# Create virtual environment
python -m venv venv
.\venv\Scripts\activate
# Install in development mode
pip install -e .
# Run the server
python -m mcp_everything_search
License
MIT License - see LICENSE for details.
Acknowledgments
- Everything by voidtools
- Model Context Protocol by Anthropic
संबंधित सर्वर
Agora MCP
Search and buy products across thousands of online stores using the SearchAgora universal product search engine.
Rememberizer MCP Server for Common Knowledge
Access and search personal or team knowledge repositories, including documents and Slack discussions, using semantic search and retrieval tools.
Crawleo MCP Server
Crawleo MCP - Web Search & Crawl for AI Enable AI assistants to access real-time web data through native tool integration. Two Powerful Tools: web.search - Real-time web search with flexible formatting Search from any country/language Device-specific results (desktop, mobile, tablet) Multiple output formats: Enhanced HTML (AI-optimized, clean) Raw HTML (original source) Markdown (formatted text) Plain Text (pure content) Auto-crawl option for full content extraction Multi-page search support web.crawl - Deep content extraction Extract clean content from any URL JavaScript rendering support Markdown conversion Screenshot capture Multi-URL support Features: ✅ Zero data retention (complete privacy) ✅ Real-time, not cached results ✅ AI-optimized with Enhanced HTML mode ✅ Global coverage (any country/language) ✅ Device-specific search (mobile/desktop/tablet) ✅ Flexible output formats (4 options) ✅ Cost-effective (5-10x cheaper than competitors) ✅ Simple Claude Desktop integration Perfect for: Research, content analysis, data extraction, AI agents, RAG pipelines, multi-device testing
MCP Compass
Explore and discover Model Context Protocol servers using natural language queries.
Semantic Scholar
Access Semantic Scholar's academic paper database through their API.
Lancelot-MCP
A containerized MCP server for LanceDB vector search, featuring hybrid processing with Gemini and Ollama.
Azure AI Agent & Search
Search content using Azure AI Agent Service and Azure AI Search.
DeepResearch
Lightning-Fast, High-Accuracy Deep Research Agent 👉 8–10x faster 👉 Greater depth & accuracy 👉 Unlimited parallel runs
Simple arXiv
Search and retrieve academic papers from the arXiv repository via its API.
Image Sorcery
At Sunrise Apps, we believe AI agents should be limitless, especially when it comes to visual data. We created ImageSorcery to bridge the critical gap in AI's ability to interact with and manipulate images directly, all while upholding the highest standards of privacy and security.