Everything Search MCP Server

Overview

The Everything Search MCP Server equips AI assistants with lightning‑fast, cross‑platform file discovery. Whether you’re on Windows, macOS, or Linux, the server exposes a single tool that taps into native indexing engines—Everything’s SDK on Windows, Spotlight’s on macOS, and the / databases on Linux. This unification allows a Claude assistant to query the local filesystem from anywhere in its workflow, dramatically improving productivity for developers who need instant access to code, documentation, or configuration files without leaving the chat interface.

At its core, the server solves a common pain point: locating files in large repositories or heterogeneous development environments. Traditional shell commands can be slow, inconsistent across OSes, and hard to expose through an AI interface. By wrapping the best available search engines in a single, well‑defined MCP API, developers can rely on deterministic, high‑performance results. The tool accepts a rich set of parameters—query string, result limits, case sensitivity, whole‑word matching, regex support, and a comprehensive sort order—mirroring the capabilities of each underlying platform while keeping the interface uniform.

Key features include:

• Cross‑platform consistency: A single API that behaves predictably on Windows, macOS, and Linux.
• Advanced filtering: Use file extensions, modification dates, or content keywords (where supported) to narrow results.
• Result control: Limit output size, choose whether to match full paths or just filenames, and toggle case‑sensitivity.
• Sorting flexibility: Order results by name, path, size, or timestamps in ascending or descending order.
• Rich metadata: Each hit returns path, size in bytes, and last‑modified date, enabling downstream processing or display.

Typical use cases abound. In a codebase with thousands of files, an assistant can quickly find the latest test suite or locate all documentation before a meeting. During debugging, developers can ask the AI to pull up recent log files or configuration overrides without manually navigating directories. DevOps teams can integrate the tool into CI pipelines, allowing scripts to search artifact locations or deployment manifests on the fly. Because the server is stateless and lightweight, it can be deployed locally or in secure environments where external indexing services are prohibited.

Integration with AI workflows is seamless. A Claude prompt can simply invoke the tool, passing a natural‑language query that is translated into the underlying platform’s syntax. The server returns structured JSON, which the assistant can then format or act upon—opening files in an editor, summarizing contents, or feeding results into other tools. The MCP’s prompt and sampling capabilities further allow the assistant to refine queries or present ranked results interactively. This tight coupling between AI reasoning and system-level file access unlocks powerful automation patterns that would otherwise require manual scripting or complex tooling.

In short, the Everything Search MCP Server turns a local filesystem into an AI‑friendly knowledge base. By abstracting platform quirks, delivering fast, rich search results, and integrating effortlessly into Claude’s workflow, it provides developers with a decisive edge in navigating, managing, and leveraging the files that underpin modern software projects.