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📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file.
It is perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Please consider sponsoring me.

Sponsor

Sponsors

🏆 Open Source Awards Nomination

We're honored! Repomix has been nominated for the Powered by AI category at the JSNation Open Source Awards 2025.

This wouldn't have been possible without all of you using and supporting Repomix. Thank you!

🎉 New: Repomix Website & Discord Community!

We look forward to seeing you there!

🌟 Features

  • AI-Optimized: Formats your codebase in a way that's easy for AI to understand and process.
  • Token Counting: Provides token counts for each file and the entire repository, useful for LLM context limits.
  • Simple to Use: You need just one command to pack your entire repository.
  • Customizable: Easily configure what to include or exclude.
  • Git-Aware: Automatically respects your .gitignore, .ignore, and .repomixignore files.
  • Security-Focused: Incorporates Secretlint for robust security checks to detect and prevent inclusion of sensitive information.
  • Code Compression: The --compress option uses Tree-sitter to extract key code elements, reducing token count while preserving structure.

🚀 Quick Start

Using the CLI Tool >_

You can try Repomix instantly in your project directory without installation:

npx repomix@latest

Or install globally for repeated use:

# Install using npm
npm install -g repomix

# Alternatively using yarn
yarn global add repomix

# Alternatively using bun
bun add -g repomix

# Alternatively using Homebrew (macOS/Linux)
brew install repomix

# Then run in any project directory
repomix

That's it! Repomix will generate a repomix-output.xml file in your current directory, containing your entire repository in an AI-friendly format.

You can then send this file to an AI assistant with a prompt like:

This file contains all the files in the repository combined into one.
I want to refactor the code, so please review it first.

Repomix File Usage 1

When you propose specific changes, the AI might be able to generate code accordingly. With features like Claude's Artifacts, you could potentially output multiple files, allowing for the generation of multiple interdependent pieces of code.

Repomix File Usage 2

Happy coding! 🚀

Using The Website 🌐

Want to try it quickly? Visit the official website at repomix.com. Simply enter your repository name, fill in any optional details, and click the Pack button to see your generated output.

Available Options

The website offers several convenient features:

  • Customizable output format (XML, Markdown, or Plain Text)
  • Instant token count estimation
  • Much more!

Using The Browser Extension 🧩

Get instant access to Repomix directly from any GitHub repository! Our Chrome extension adds a convenient "Repomix" button to GitHub repository pages.

Repomix Browser Extension

Install

Features

  • One-click access to Repomix for any GitHub repository
  • More exciting features coming soon!

Using The VSCode Extension ⚡️

A community-maintained VSCode extension called Repomix Runner (created by massdo) lets you run Repomix right inside your editor with just a few clicks. Run it on any folder, manage outputs seamlessly, and control everything through VSCode's intuitive interface.

Want your output as a file or just the content? Need automatic cleanup? This extension has you covered. Plus, it works smoothly with your existing repomix.config.json.

Try it now on the VSCode Marketplace! Source code is available on GitHub.

Alternative Tools 🛠️

If you're using Python, you might want to check out Gitingest, which is better suited for Python ecosystem and data science workflows: https://github.com/cyclotruc/gitingest

📊 Usage

To pack your entire repository:

repomix

To pack a specific directory:

repomix path/to/directory

To pack specific files or directories using glob patterns:

repomix --include "src/**/*.ts,**/*.md"

To exclude specific files or directories:

repomix --ignore "**/*.log,tmp/"

To pack a remote repository:

repomix --remote https://github.com/yamadashy/repomix

# You can also use GitHub shorthand:
repomix --remote yamadashy/repomix

# You can specify the branch name, tag, or commit hash:
repomix --remote https://github.com/yamadashy/repomix --remote-branch main

# Or use a specific commit hash:
repomix --remote https://github.com/yamadashy/repomix --remote-branch 935b695

# Another convenient way is specifying the branch's URL
repomix --remote https://github.com/yamadashy/repomix/tree/main

# Commit's URL is also supported
repomix --remote https://github.com/yamadashy/repomix/commit/836abcd7335137228ad77feb28655d85712680f1

To pack files from a file list (pipe via stdin):

# Using find command
find src -name "*.ts" -type f | repomix --stdin

# Using git to get tracked files
git ls-files "*.ts" | repomix --stdin

# Using grep to find files containing specific content
grep -l "TODO" **/*.ts | repomix --stdin

# Using ripgrep to find files with specific content
rg -l "TODO|FIXME" --type ts | repomix --stdin

# Using ripgrep (rg) to find files
rg --files --type ts | repomix --stdin

# Using sharkdp/fd to find files
fd -e ts | repomix --stdin

# Using fzf to select from all files
fzf -m | repomix --stdin

# Interactive file selection with fzf
find . -name "*.ts" -type f | fzf -m | repomix --stdin

# Using ls with glob patterns
ls src/**/*.ts | repomix --stdin

# From a file containing file paths
cat file-list.txt | repomix --stdin

# Direct input with echo
echo -e "src/index.ts\nsrc/utils.ts" | repomix --stdin

The --stdin option allows you to pipe a list of file paths to Repomix, giving you ultimate flexibility in selecting which files to pack.

When using --stdin, the specified files are effectively added to the include patterns. This means that the normal include and ignore behavior still applies - files specified via stdin will still be excluded if they match ignore patterns.

[!NOTE] When using --stdin, file paths can be relative or absolute, and Repomix will automatically handle path resolution and deduplication.

To include git logs in the output:

# Include git logs with default count (50 commits)
repomix --include-logs

# Include git logs with specific commit count
repomix --include-logs --include-logs-count 10

# Combine with diffs for comprehensive git context
repomix --include-logs --include-diffs

The git logs include commit dates, messages, and file paths for each commit, providing valuable context for AI analysis of code evolution and development patterns.

To compress the output:

repomix --compress

# You can also use it with remote repositories:
repomix --remote yamadashy/repomix --compress

To initialize a new configuration file (repomix.config.json):

repomix --init

Once you have generated the packed file, you can use it with Generative AI tools like ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Docker Usage 🐳

You can also run Repomix using Docker.
This is useful if you want to run Repomix in an isolated environment or prefer using containers.

Basic usage (current directory):

docker run -v .:/app -it --rm ghcr.io/yamadashy/repomix

To pack a specific directory:

docker run -v .:/app -it --rm ghcr.io/yamadashy/repomix path/to/directory

Process a remote repository and output to a output directory:

docker run -v ./output:/app -it --rm ghcr.io/yamadashy/repomix --remote https://github.com/yamadashy/repomix

Prompt Examples

Once you have generated the packed file with Repomix, you can use it with AI tools like ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more. Here are some example prompts to get you started:

Code Review and Refactoring

For a comprehensive code review and refactoring suggestions:

This file contains my entire codebase. Please review the overall structure and suggest any improvements or refactoring opportunities, focusing on maintainability and scalability.

Documentation Generation

To generate project documentation:

Based on the codebase in this file, please generate a detailed README.md that includes an overview of the project, its main features, setup instructions, and usage examples.

Test Case Generation

For generating test cases:

Analyze the code in this file and suggest a comprehensive set of unit tests for the main functions and classes. Include edge cases and potential error scenarios.

Code Quality Assessment

Evaluate code quality and adherence to best practices:

Review the codebase for adherence to coding best practices and industry standards. Identify areas where the code could be improved in terms of readability, maintainability, and efficiency. Suggest specific changes to align the code with best practices.

Library Overview

Get a high-level understanding of the library

This file contains the entire codebase of library. Please provide a comprehensive overview of the library, including its main purpose, key features, and overall architecture.

Feel free to modify these prompts based on your specific needs and the capabilities of the AI tool you're using.

Community Discussion

Check out our community discussion where users share:

  • Which AI tools they're using with Repomix
  • Effective prompts they've discovered
  • How Repomix has helped them
  • Tips and tricks for getting the most out of AI code analysis

Feel free to join the discussion and share your own experiences! Your insights could help others make better use of Repomix.

Output File Format

Repomix generates a single file with clear separators between different parts of your codebase.
To enhance AI comprehension, the output file begins with an AI-oriented explanation, making it easier for AI models to understand the context and structure of the packed repository.

XML Format (default)

The XML format structures the content in a hierarchical manner:

This file is a merged representation of the entire codebase, combining all repository files into a single document.

<file_summary>
  (Metadata and usage AI instructions)
</file_summary>

<directory_structure>
src/
cli/
cliOutput.ts
index.ts

(...remaining directories)
</directory_structure>

<files>
<file path="src/index.js">
  // File contents here
</file>

(...remaining files)
</files>

<instruction>
(Custom instructions from `output.instructionFilePath`)
</instruction>

For those interested in the potential of XML tags in AI contexts:
https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/use-xml-tags

When your prompts involve multiple components like context, instructions, and examples, XML tags can be a game-changer. They help Claude parse your prompts more accurately, leading to higher-quality outputs.

This means that the XML output from Repomix is not just a different format, but potentially a more effective way to feed your codebase into AI systems for analysis, code review, or other tasks.

Markdown Format

To generate output in Markdown format, use the --style markdown option:

repomix --style markdown

The Markdown format structures the content in a hierarchical manner:

This file is a merged representation of the entire codebase, combining all repository files into a single document.

# File Summary

(Metadata and usage AI instructions)

# Repository Structure

```
src/
  cli/
    cliOutput.ts
    index.ts
```

(...remaining directories)

# Repository Files

## File: src/index.js

```
// File contents here
```

(...remaining files)

# Instruction

(Custom instructions from `output.instructionFilePath`)

This format provides a clean, readable structure that is both human-friendly and easily parseable by AI systems.

JSON Format

To generate output in JSON format, use the --style json option:

repomix --style json

The JSON format structures the content as a hierarchical JSON object with camelCase property names:

{
  "fileSummary": {
    "generationHeader": "This file is a merged representation of the entire codebase, combined into a single document by Repomix.",
    "purpose": "This file contains a packed representation of the entire repository's contents...",
    "fileFormat": "The content is organized as follows...",
    "usageGuidelines": "- This file should be treated as read-only...",
    "notes": "- Some files may have been excluded based on .gitignore, .ignore, and .repomixignore rules..."
  },
  "userProvidedHeader": "Custom header text if specified",
  "directoryStructure": "src/\n  cli/\n    cliOutput.ts\n    index.ts\n  config/\n    configLoader.ts",
  "files": {
    "src/index.js": "// File contents here",
    "src/utils.js": "// File contents here"
  },
  "instruction": "Custom instructions from instructionFilePath"
}

This format is ideal for:

  • Programmatic processing: Easy to parse and manipulate with JSON libraries
  • API integration: Direct consumption by web services and applications
  • AI tool compatibility: Structured format for machine learning and AI systems
  • Data analysis: Straightforward extraction of specific information using tools like jq
Working with JSON Output Using jq

The JSON format makes it easy to extract specific information programmatically:

# List all file paths
cat repomix-output.json | jq -r '.files | keys[]'

# Count total number of files
cat repomix-output.json | jq '.files | keys | length'

# Extract specific file content
cat repomix-output.json | jq -r '.files["README.md"]'
cat repomix-output.json | jq -r '.files["src/index.js"]'

# Find files by extension
cat repomix-output.json | jq -r '.files | keys[] | select(endswith(".ts"))'

# Get files containing specific text
cat repomix-output.json | jq -r '.files | to_entries[] | select(.value | contains("function")) | .key'

# Extract directory structure
cat repomix-output.json | jq -r '.directoryStructure'

# Get file summary information
cat repomix-output.json | jq '.fileSummary.purpose'
cat repomix-output.json | jq -r '.fileSummary.generationHeader'

# Extract user-provided header (if exists)
cat repomix-output.json | jq -r '.userProvidedHeader // "No header provided"'

# Create a file list with sizes
cat repomix-output.json | jq -r '.files | to_entries[] | "\(.key): \(.value | length) characters"'

Plain Text Format

To generate output in plain text format, use the --style plain option:

repomix --style plain

This file is a merged representation of the entire codebase, combining all repository files into a single document.

================================================================
File Summary
================================================================
(Metadata and usage AI instructions)

================================================================
Directory Structure
================================================================
src/
  cli/
    cliOutput.ts
    index.ts
  config/
    configLoader.ts

(...remaining directories)

================================================================
Files
================================================================

================
File: src/index.js
================
// File contents here

================
File: src/utils.js
================
// File contents here

(...remaining files)

================================================================
Instruction
================================================================
(Custom instructions from `output.instructionFilePath`)

Command Line Options

Basic Options

  • -v, --version: Show version information and exit

CLI Input/Output Options

Option Description
--verbose Enable detailed debug logging (shows file processing, token counts, and configuration details)
--quiet Suppress all console output except errors (useful for scripting)
--stdout Write packed output directly to stdout instead of a file (suppresses all logging)
--stdin Read file paths from stdin, one per line (specified files are processed directly)
--copy Copy the generated output to system clipboard after processing
--token-count-tree [threshold] Show file tree with token counts; optional threshold to show only files with ≥N tokens (e.g., --token-count-tree 100)
--top-files-len <number> Number of largest files to show in summary (default: 5)

Repomix Output Options

Option Description
-o, --output <file> Output file path (default: repomix-output.xml, use "-" for stdout)
--style <style> Output format: xml, markdown, json, or plain (default: xml)
--output-file-path-style <style> How file paths are shown in output: target-relative or cwd-relative (default: target-relative)
--parsable-style Escape special characters to ensure valid XML/Markdown (needed when output contains code that breaks formatting)
--compress Extract essential code structure (classes, functions, interfaces) using Tree-sitter parsing
--output-show-line-numbers Prefix each line with its line number in the output
--no-file-summary Omit the file summary section from output
--no-directory-structure Omit the directory tree visualization from output
--no-files Generate metadata only without file contents (useful for repository analysis)
--remove-comments Strip all code comments before packing
--remove-empty-lines Remove blank lines from all files
--truncate-base64 Truncate long base64 data strings to reduce output size
--header-text <text> Custom text to include at the beginning of the output
--instruction-file-path <path> Path to file containing custom instructions to include in output
--split-output <size> Split output into multiple numbered files (e.g., repomix-output.1.xml); size like 500kb, 2mb, or 1.5mb
--include-empty-directories Include folders with no files in directory structure
--include-full-directory-structure Show complete directory tree in output, including files not matched by --include patterns
--no-git-sort-by-changes Don't sort files by git change frequency (default: most changed files first)
--include-diffs Add git diff section showing working tree and staged changes
--include-logs Add git commit history with messages and changed files
--include-logs-count <count> Number of recent commits to include with --include-logs (default: 50)

File Selection Options

Option Description
--include <patterns> Include only files matching these glob patterns (comma-separated, e.g., "src/**/*.js,*.md")
-i, --ignore <patterns> Additional patterns to exclude (comma-separated, e.g., "*.test.js,docs/**")
--no-gitignore Don't use .gitignore rules for filtering files
--no-dot-ignore Don't use .ignore rules for filtering files
--no-default-patterns Don't apply built-in ignore patterns (node_modules, .git, build dirs, etc.)

Remote Repository Options

Option Description
--remote <url> Clone and pack a remote repository (GitHub URL or user/repo format)
--remote-branch <name> Specific branch, tag, or commit to use (default: repository's default branch)
--remote-trust-config Trust and load config files from remote repositories (disabled by default for security)

Configuration Options

Option Description
-c, --config <path> Use custom config file instead of repomix.config.json
--init Create a new repomix.config.json file with defaults
--global With --init, create config in home directory instead of current directory

Security Options

  • --no-security-check: Skip scanning for sensitive data like API keys and passwords

Token Count Options

  • --token-count-encoding <encoding>: Tokenizer model for counting: o200k_base (GPT-4o), cl100k_base (GPT-3.5/4), etc. (default: o200k_base)
  • --token-budget <number>: Fail with a non-zero exit code when the packed output exceeds N tokens. Useful as a guard in CI pipelines and agent workflows to keep output within a target model's context window. The output is still generated; only the exit code signals the overflow.

MCP

  • --mcp: Run as Model Context Protocol server for AI tool integration

Agent Skills Generation

Option Description
--skill-generate [name] Generate Claude Agent Skills format output to .claude/skills/<name>/ directory (name auto-generated if omitted)
--skill-project-name <name> Override the project name used in generated Skills descriptions
--skill-output <path> Specify skill output directory path directly (skips location prompt)
-f, --force Skip all confirmation prompts (e.g., skill directory overwrite)

Watch Mode

  • -w, --watch: Watch for file changes and automatically re-pack. Debounces rapid changes (300ms) and logs a timestamp on each rebuild. Stop with Ctrl+C.

    Watch mode only works with local directories, so it cannot be combined with --remote, a positional remote repository URL, --stdout, --stdin, --split-output, --skill-generate, or --copy (whether set on the command line or in your config file).

Examples

# Basic usage
repomix

# Custom output
repomix -o output.xml --style xml

# Output to stdout
repomix --stdout > custom-output.txt

# Send output to stdout, then pipe into another command (for example, simonw/llm)
repomix --stdout | llm "Please explain what this code does."

# Custom output with compression
repomix --compress

# Process specific files
repomix --include "src/**/*.ts" --ignore "**/*.test.ts"

# Split output into multiple files (max size per part)
repomix --split-output 20mb

# Remote repository with branch
repomix --remote https://github.com/user/repo/tree/main

# Remote repository with commit
repomix --remote https://github.com/user/repo/commit/836abcd7335137228ad77feb28655d85712680f1

# Remote repository with shorthand
repomix --remote user/repo

# Watch mode — automatically re-pack on file changes
repomix --watch
repomix -w --include "src/**/*.ts"

Updating Repomix

To update a globally installed Repomix:

# Using npm
npm update -g repomix

# Using yarn
yarn global upgrade repomix

# Using bun
bun update -g repomix

Using npx repomix is generally more convenient as it always uses the latest version.

Remote Repository Processing

Repomix supports processing remote Git repositories without the need for manual cloning. This feature allows you to quickly analyze any public Git repository with a single command.

To process a remote repository, use the --remote option followed by the repository URL:

repomix --remote https://github.com/yamadashy/repomix

You can also use GitHub's shorthand format:

repomix --remote yamadashy/repomix

You can specify the branch name, tag, or commit hash:

# Using --remote-branch option
repomix --remote https://github.com/yamadashy/repomix --remote-branch main

# Using branch's URL
repomix --remote https://github.com/yamadashy/repomix/tree/main

Or use a specific commit hash:

# Using --remote-branch option
repomix --remote https://github.com/yamadashy/repomix --remote-branch 935b695

# Using commit's URL
repomix --remote https://github.com/yamadashy/repomix/commit/836abcd7335137228ad77feb28655d85712680f1

[!NOTE] For security, config files (repomix.config.*) in remote repositories are not loaded by default. This prevents untrusted repositories from executing code via config files. Your global config and CLI options are still applied. To trust a remote repository's config, use --remote-trust-config or set REPOMIX_REMOTE_TRUST_CONFIG=true.

When using --config with --remote, an absolute path is required (e.g., --config /home/user/repomix.config.json).

Code Compression

The --compress option utilizes Tree-sitter to perform intelligent code extraction, focusing on essential function and class signatures while removing implementation details. This can help reduce token count while retaining important structural information.

repomix --compress

For example, this code:

import { ShoppingItem } from './shopping-item';

/**
 * Calculate the total price of shopping items
 */
const calculateTotal = (
  items: ShoppingItem[]
) => {
  let total = 0;
  for (const item of items) {
    total += item.price * item.quantity;
  }
  return total;
}

// Shopping item interface
interface Item {
  name: string;
  price: number;
  quantity: number;
}

Will be compressed to:

import { ShoppingItem } from './shopping-item';
⋮----
/**
 * Calculate the total price of shopping items
 */
const calculateTotal = (
  items: ShoppingItem[]
) => {
⋮----
// Shopping item interface
interface Item {
  name: string;
  price: number;
  quantity: number;
}

[!NOTE] This is an experimental feature that we'll be actively improving based on user feedback and real-world usage

Per-file Inclusion Levels (output.patterns)

While --compress applies one level to every file, output.patterns lets you control the detail level per glob from your config file. Each entry targets files by glob (matched the same way as include/ignore) and overrides the global output.compress setting for matching files:

{
  "output": {
    "compress": false, // global default acts as the catch-all
    "patterns": [
      { "pattern": "docs/**/*", "compress": true },
      { "pattern": "website/**/*", "directoryStructureOnly": true }
    ]
  }
}

There are three levels:

  • Full content (default) — the file's full content is included.
  • Compressed (compress: true) — the content is passed through the same Tree-sitter pipeline as --compress.
  • Directory-structure-only (directoryStructureOnly: true) — the file is listed in the directory structure, but its content block is omitted from the output entirely.

Semantics:

  • Patterns are evaluated in array order and the first matching pattern wins for a given file.
  • A matched pattern's flags override the global output.compress setting. A pattern that matches without setting either flag forces full content for that file (useful for whitelisting files out of a global compress).
  • directoryStructureOnly takes precedence over compress when both are set.
  • If no pattern matches, the global behavior applies (full content, or compressed when output.compress is true).

This is a config-file-only option; there is no CLI flag for per-pattern levels.

Token Count Optimization

Understanding your codebase's token distribution is crucial for optimizing AI interactions. Use the --token-count-tree option to visualize token usage across your project:

repomix --token-count-tree

This displays a hierarchical view of your codebase with token counts:

🔢 Token Count Tree:
────────────────────
└── src/ (70,925 tokens)
    ├── cli/ (12,714 tokens)
    │   ├── actions/ (7,546 tokens)
    │   └── reporters/ (990 tokens)
    └── core/ (41,600 tokens)
        ├── file/ (10,098 tokens)
        └── output/ (5,808 tokens)

You can also set a minimum token threshold to focus on larger files:

repomix --token-count-tree 1000  # Only show files/directories with 1000+ tokens

This helps you:

  • Identify token-heavy files that might exceed AI context limits
  • Optimize file selection using --include and --ignore patterns
  • Plan compression strategies by targeting the largest contributors
  • Balance content vs. context when preparing code for AI analysis

Splitting Output for Large Codebases

When working with large codebases, the packed output may exceed file size limits imposed by some AI tools (e.g., Google AI Studio's 1MB limit). Use --split-output to automatically split the output into multiple files:

repomix --split-output 1mb

This generates numbered files like:

  • repomix-output.1.xml
  • repomix-output.2.xml
  • repomix-output.3.xml

Size can be specified with units: 500kb, 1mb, 2mb, 1.5mb, etc. Decimal values are supported.

[!NOTE] Files are grouped by top-level directory to maintain context. A single file or directory will never be split across multiple output files.

MCP Server Integration

Repomix supports the Model Context Protocol (MCP), allowing AI assistants to directly interact with your codebase. When run as an MCP server, Repomix provides tools that enable AI assistants to package local or remote repositories for analysis without requiring manual file preparation.

repomix --mcp

Configuring MCP Servers

To use Repomix as an MCP server with AI assistants like Claude, you need to configure the MCP settings:

For VS Code:

You can install the Repomix MCP server in VS Code using one of these methods:

  1. Using the Install Badge:

Install in VS Code Install in VS Code Insiders

  1. Using the Command Line:
code --add-mcp '{"name":"repomix","command":"npx","args":["-y","repomix","--mcp"]}'

For VS Code Insiders:

code-insiders --add-mcp '{"name":"repomix","command":"npx","args":["-y","repomix","--mcp"]}'

For Cline (VS Code extension):

Edit the cline_mcp_settings.json file:

{
  "mcpServers": {
    "repomix": {
      "command": "npx",
      "args": [
        "-y",
        "repomix",
        "--mcp"
      ]
    }
  }
}

For Cursor:

In Cursor, add a new MCP server from Cursor Settings > MCP > + Add new global MCP server with a configuration similar to Cline.

For Claude Desktop:

Edit the claude_desktop_config.json file with similar configuration to Cline's config.

For Claude Code:

To configure Repomix as an MCP server in Claude Code, use the following command:

claude mcp add repomix -- npx -y repomix --mcp

Alternatively, you can use the official Repomix plugins (see Claude Code Plugins section below).

Using Docker instead of npx:

You can use Docker as an alternative to npx for running Repomix as an MCP server:

{
  "mcpServers": {
    "repomix-docker": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/yamadashy/repomix",
        "--mcp"
      ]
    }
  }
}

Once configured, your AI assistant can directly use Repomix's capabilities to analyze codebases without manual file preparation, making code analysis workflows more efficient.

Available MCP Tools

When running as an MCP server, Repomix provides the following tools:

  1. pack_codebase: Package a local code directory into a consolidated XML file for AI analysis
  • Parameters:
    • directory: Absolute path to the directory to pack
    • compress: (Optional, default: false) Enable Tree-sitter compression to extract essential code signatures and structure while removing implementation details. Reduces token usage by ~70% while preserving semantic meaning. Generally not needed since grep_repomix_output allows incremental content retrieval. Use only when you specifically need the entire codebase content for large repositories.
    • includePatterns: (Optional) Specify files to include using fast-glob patterns. Multiple patterns can be comma-separated (e.g., "/*.{js,ts}", "src/,docs/**"). Only matching files will be processed.
    • ignorePatterns: (Optional) Specify additional files to exclude using fast-glob patterns. Multiple patterns can be comma-separated (e.g., "test/,*.spec.js", "node_modules/,dist/**"). These patterns supplement .gitignore, .ignore, and built-in exclusions.
    • topFilesLength: (Optional, default: 10) Number of largest files by size to display in the metrics summary for codebase analysis.
  1. attach_packed_output: Attach an existing Repomix packed output file for AI analysis
  • Parameters:
    • path: Path to a directory containing repomix-output.xml or direct path to a packed repository XML file
    • topFilesLength: (Optional, default: 10) Number of largest files by size to display in the metrics summary
  • Features:
    • Accepts either a directory containing a repomix-output.xml file or a direct path to an XML file
    • Registers the file with the MCP server and returns the same structure as the pack_codebase tool
    • Provides secure access to existing packed outputs without requiring re-processing
    • Useful for working with previously generated packed repositories
  1. pack_remote_repository: Fetch, clone, and package a GitHub repository into a consolidated XML file for AI analysis
  • Parameters:
    • remote: GitHub repository URL or user/repo format (e.g., "yamadashy/repomix", "https://github.com/user/repo", or "https://github.com/user/repo/tree/branch")
    • compress: (Optional, default: false) Enable Tree-sitter c