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Ripgrep

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mcollina

An MCP server to wrap ripgrep

Publishermcollina
Repositorymcp-ripgrep
LanguageJavaScript
Forks
21
Stars
68
Available tools
5
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Ripgrep exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 5 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    68 stars and 21 forks from the linked repository.

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:

    json
    {
      "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

Installation

TypingMind
Prerequisites:

Node.js 18+

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

Available Tools

  • search

    Search files for patterns using ripgrep (rg)

  • advanced-search

    Advanced search with ripgrep with more options

  • count-matches

    Count matches in files using ripgrep

  • list-files

    List files that would be searched by ripgrep without actually searching them

  • list-file-types

    List all supported file types in ripgrep

Use Ripgrep MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Ripgrep is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Ripgrep as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Ripgrep MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "ripgrep": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-ripgrep"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Ripgrep MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Ripgrep MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Ripgrep to help me with this task?
Ripgrep
Sure. I read it.
Here is what I found using Ripgrep.

Frequently asked questions

What is the Ripgrep MCP server used for?

Ripgrep is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Ripgrep MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Ripgrep with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Ripgrep MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Ripgrep connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Ripgrep MCP to TypingMind?

Ripgrep runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Ripgrep MCP provide in TypingMind?

Ripgrep exposes 5 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Ripgrep MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Ripgrep requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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