What types of files can File Find Mcp search?
It searches for keywords in text files within a specified directory; binary files are automatically detected and skipped.
@joisun
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
File Find Mcp is a specialized Model Context Protocol (MCP) server for fast file search within a filesystem, built with Rust and powered by ripgrep. It provides high‑performance keyword search and file content reading, and is compatible with AI assistants and other systems that support the MCP protocol.
Clone the repository, install Rust and optionally ripgrep, then build with cargo build --release. Add the binary path to your MCP settings (e.g., in Cursor or Claude) using the JSON configuration shown in the README. Once configured, invoke the search tool with a directory and keyword, or the file_content_reader tool with a file path.
It searches for keywords in text files within a specified directory; binary files are automatically detected and skipped.
No. While ripgrep provides faster performance, File Find Mcp includes a fallback mechanism that uses a pure Rust implementation when the `rg` command is not available.
It works with any system that supports the Model Context Protocol, such as Cursor, Claude, and other MCP‑compatible tools.
Add a JSON entry to your MCP settings with the `command` field pointing to the full path of the compiled binary (e.g., `/path/to/file-find-mcp/target/release/file-find-mcp`).
It exposes two tools: the `search` tool (parameters: `directory` and `keyword`) and the `file_content_reader` tool (parameter: `file_path`).
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