Repomapper

🚀 RepoMap - Command-Line Tool and MCP Server

RepoMap is a powerful tool designed to assist, primarily large language models (LLMs), in understanding and navigating complex codebases. It serves both as a command-line application for on-demand analysis and as an MCP (Model Context Protocol) server, offering continuous repository mapping capabilities to other applications. By generating a "map" of the software repository, RepoMap highlights important files, code definitions, and their relationships. It utilizes Tree-sitter for accurate code parsing and the PageRank algorithm to rank code elements by importance, ensuring that the most relevant information is always prioritized.

🚀 Quick Start

RepoMap can be used either as a command - line tool or an MCP server. To get started, first install the necessary dependencies using the command pip install -r requirements.txt.

✨ Features

• Smart Code Analysis: Utilizes Tree-sitter to parse source code and extract function/class definitions.
• Relevance Ranking: Applies the PageRank algorithm to rank code elements by importance.
• Token-Aware: Respects token limits to fit within LLM context windows.
• Caching: Implements persistent caching for fast subsequent runs.
• Multi-Language: Supports Python, JavaScript, TypeScript, Java, C/C++, Go, Rust, and more.
• Important File Detection: Automatically identifies and prioritizes important files (e.g., README, requirements.txt).

📦 Installation

pip install -r requirements.txt

💻 Usage Examples

Basic Usage

# Map current directory
python repomap.py .

# Map specific directory with custom token limit
python repomap.py src/ --map-tokens 2048

# Map specific files
python repomap.py file1.py file2.py

# Specify chat files (higher priority) vs other files
python repomap.py --chat-files main.py --other-files src/

# Specify mentioned files and identifiers
python repomap.py --mentioned-files config.py --mentioned-idents "main_function"

# Enable verbose output
python repomap.py . --verbose

# Force refresh of caches
python repomap.py . --force-refresh

# Specify model for token counting
python repomap.py . --model gpt-3.5-turbo

# Set maximum context window
python repomap.py . --max-context-window 8192

# Exclude files with Page Rank 0
python repomap.py . --exclude-unranked

The tool prioritizes files in the following order:

1. --chat-files: These files are given the highest priority, as they're assumed to be the files you're currently working on.
2. --mentioned-files: These files are given a high priority, as they're explicitly mentioned in the current context.
3. --other-files: These files are given the lowest priority and are used to provide additional context.

Advanced Usage

# Enable verbose output
python repomap.py . --verbose

# Force refresh of caches
python repomap.py . --force-refresh

# Specify model for token counting
python repomap.py . --model gpt-3.5-turbo

# Set maximum context window
python repomap.py . --max-context-window 8192

# Exclude files with Page Rank 0
python repomap.py . --exclude-unranked

# Mention specific files or identifiers for higher priority
python repomap.py . --mentioned-files config.py --mentioned-idents "main_function"

📚 Documentation

Example Output

> python repomap.py . --chat-files repomap_class.py
Chat files: ['/mnt/programming/RepoMapper/repomap_class.py']
repomap_class.py:
(Rank value: 10.8111)

  36: CACHE_VERSION = 1
  39: TAGS_CACHE_DIR = os.path.join(os.getcwd(), f".repomap.tags.cache.v{CACHE_VERSION}")
  40: SQLITE_ERRORS = (sqlite3.OperationalError, sqlite3.DatabaseError)
  43: Tag = namedtuple("Tag", "rel_fname fname line name kind".split())
  46: class RepoMap:
  49:     def __init__(
  93:     def load_tags_cache(self):
 102:     def save_tags_cache(self):
 459:     def get_ranked_tags_map_uncached(
 483:         def try_tags(num_tags: int) -> Tuple[Optional[str], int]:
 512:     def get_repo_map(

utils.py:
(Rank value: 0.2297)

  18: Tag = namedtuple("Tag", "rel_fname fname line name kind".split())
  21: def count_tokens(text: str, model_name: str = "gpt-4") -> int:
  35: def read_text(filename: str, encoding: str = "utf-8", silent: bool = False) -> Optional[str]:

importance.py:
(Rank value: 0.1149)

   8: IMPORTANT_FILENAMES = {
  27: IMPORTANT_DIR_PATTERNS = {
  34: def is_important(rel_file_path: str) -> bool:
  56: def filter_important_files(file_paths: List[str]) -> List[str]:

    ...
    ...
    ...

How It Works

1. File Discovery: Scans the repository for source files.
2. Code Parsing: Uses Tree-sitter to parse code and extract definitions/references.
3. Graph Building: Creates a graph where files are nodes and symbol references are edges.
4. Ranking: Applies PageRank algorithm to rank files and symbols by importance.
5. Token Optimization: Uses binary search to fit the most important content within token limits.
6. Output Generation: Formats the results as a readable code map.

Output Format

The tool generates a structured view of your codebase showing:

• File paths and important code sections
• Function and class definitions
• Key relationships between code elements
• Prioritized based on actual usage and references

Dependencies

Caching

The tool uses persistent caching to speed up subsequent runs:

• Cache directory: .repomap.tags.cache.v1/
• Automatically invalidated when files change
• Can be cleared with --force-refresh

Supported Languages

Currently supports languages with Tree-sitter grammars:

• arduino
• chatito
• commonlisp
• cpp
• csharp
• c
• dart
• d
• elisp
• elixir
• elm
• gleam
• go
• javascript
• java
• lua
• ocaml_interface
• ocaml
• pony
• properties
• python
• racket
• r
• ruby
• rust
• solidity
• swift
• udev
• c_sharp
• hcl
• kotlin
• php
• ql
• scala

Running as an MCP Server

RepoMap can also be run as an MCP (Model Context Protocol) server, allowing other applications to access its repository mapping capabilities.

Setup

1. The RepoMap MCP server uses STDIO (standard input/output) for communication. No additional configuration is required for the transport layer.
2. To set up RepoMap as an MCP server with Cline (or similar tools like Roo), add the following configuration to your Cline settings file (e.g., cline_mcp_settings.json):

{
  "mcpServers": {
    "RepoMapper": {
      "disabled": false,
      "timeout": 60,
      "type": "stdio",
      "command": "/usr/bin/python3",
      "args": [
        "/absolute/path/to/repomap_server.py"
      ]
    }
  }
}

• Replace "/absolute/path/to/repomap_server.py" with the actual path to your repomap_server.py file.

Usage

1. Run the repomap_server.py script:

python repomap_server.py

2. The server will start and listen for requests via STDIO.
3. Other applications can then use the repo_map tool provided by the server to generate repository maps. They must specify the project_root parameter as an absolute path to the project they want to map.

🔧 Technical Details

Aider

RepoMap is 100% based on Aider's Repo map functionality, but I don't believe it shares any code with it. Allow me to explain.

My original effort was to take the RepoMap class from Aider, remove all the aider-specific dependencies, and then make it into a command-line tool. Python isn't my native language and I really struggled to get it to work.

So a few hours ago, I had a different idea. I took the RepoMap and some of its related code from aider and I fed it to an LLM (Either Claude or Gemini 2.5 Pro, can't remember) and had it create specifications for this, basically, from aider's implementation. So it generated a very detailed specification for this application (minus the MCP bits) and then I fed that to, well, Aider with Claude 3.7, and it built the command-line version of this.

I then used a combination of Aider w/Claude 3.7, Cline w/Gemini 2.5 Pro Preview & Gemini 2.5 Flash Preview, and Phind.com, and Gemini.com and Claude.com and ChatGPT.com and after a few hours, I finally got the MCP server sorted out. Again, keeping in mind, Python isn't really my native tongue.

📄 License

This implementation is based on the RepoMap design from the Aider project.

Changelog

7/13/2025 - Removed the project.json dependency. Fixed the MCP server to be a little easier for the LLM to work with in terms of filenames.