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Ripgrep

by mcollina

Ripgrep offers high-performance text search, ideal for SEO optimization software and rapid content discovery across loca

Provides high-performance text search capabilities by wrapping ripgrep, enabling powerful file exploration, pattern matching, and content discovery across local filesystems.

github stars

63

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

High-performance ripgrep backendRequires ripgrep installed locally

best for

  • / Developers exploring large codebases
  • / Content analysis across multiple files
  • / Code review and debugging workflows

capabilities

  • / Search files for text patterns
  • / Count pattern matches in files
  • / List files by type without searching
  • / Perform advanced searches with filters
  • / View supported file types

what it does

Provides high-performance text search across your local files using the ripgrep tool. Lets you search for patterns, count matches, and explore file contents from within MCP-compatible applications.

about

Ripgrep is a community-built MCP server published by mcollina that provides AI assistants with tools and capabilities via the Model Context Protocol. Ripgrep offers high-performance text search, ideal for SEO optimization software and rapid content discovery across loca It is categorized under file systems, developer tools. This server exposes 5 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Ripgrep in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Ripgrep is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Ripgrep Server

An MCP server that provides ripgrep (rg) search capabilities to any MCP client such as Claude.

Overview

This server provides a Model Context Protocol (MCP) interface for the powerful ripgrep search tool. It enables Claude AI and other MCP-compatible clients to perform high-performance text searches across files on your system.

Prerequisites

  • Node.js (v18 or higher)
  • ripgrep (rg) command installed and available in your PATH. Install it with brew install ripgrep on macOS.

Usage with Claude for Desktop

To use this MCP server with Claude for Desktop:

  1. Edit your Claude for Desktop configuration file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
  2. Add the following to your configuration:

    {
      "mcpServers": {
        "ripgrep": {
          "command": "npx",
          "args": ["-y", "mcp-ripgrep@latest"]
        }
      }
    }
    

    Replace /path/to/mcp-ripgrep with the absolute path to where you cloned this repository.

  3. Restart Claude for Desktop.

Available Tools

search

Basic search with ripgrep:

Pattern: error
Path: ./src

advanced-search

More advanced search with additional options:

Pattern: function
Path: ./src
FixedStrings: true
FileType: ts
IncludeHidden: false

count-matches

Count occurrences of a pattern:

Pattern: TODO
Path: ./src
CountLines: true

list-files

List files that would be searched without actually searching them:

Path: ./src
FileType: js

list-file-types

List all supported file types in ripgrep.

Security Considerations

This MCP server executes shell commands using the ripgrep tool. While efforts have been made to safely escape arguments, use caution when providing input as it runs commands on your machine.

License

MIT

FAQ

What is the Ripgrep MCP server?
Ripgrep is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Ripgrep?
This profile displays 55 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Discussion

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MCP server reviews

Ratings

4.755 reviews
  • Mia Garcia· Dec 28, 2024

    We wired Ripgrep into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Kwame Liu· Dec 12, 2024

    Ripgrep has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Diego Kim· Dec 12, 2024

    We evaluated Ripgrep against two servers with overlapping tools; this profile had the clearer scope statement.

  • Liam Johnson· Dec 12, 2024

    According to our notes, Ripgrep benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Ishan Rahman· Nov 19, 2024

    Strong directory entry: Ripgrep surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Olivia Taylor· Nov 11, 2024

    Ripgrep is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Hiroshi Zhang· Nov 3, 2024

    Ripgrep is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Kwame Rahman· Nov 3, 2024

    I recommend Ripgrep for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Sakura Singh· Oct 22, 2024

    According to our notes, Ripgrep benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Liam Garcia· Oct 22, 2024

    We evaluated Ripgrep against two servers with overlapping tools; this profile had the clearer scope statement.

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