MCP server for fast file search using Everything (Windows) with cross-platform fallbacks for macOS (Spotlight) and Linux (ripgrep/locate)
MCP server for fast file search using Everything (Windows) with cross-platform fallbacks for macOS (Spotlight) and Linux (ripgrep/locate)
This MCP server implements comprehensive security measures to protect against common vulnerabilities: - Command Injection Protection: All user inputs are sanitized to remove shell metacharacters (;, &, |, $, (, ), `, ~) - Path Traversal Protection: Detects and blocks .. sequences and home directory access (~) - Input Validation: Strict validation of query length (max 1000 chars), path length (max 4096 chars), and parameter bounds - Resource Limits: Command timeouts (30 seconds) and buffer size limits (50MB) prevent DoS attacks - Error Handling: Secure error messages
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| search_files | Search for files and folders using platform's search engine. |
| get_file_info | |
| check_status |
{
"mcpServers": {
"everything-search": {
"command": "everything-search-mcp",
"args": []
}
}
}Configuration as documented by the project. Restart the client after saving.
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.