c2md 1.0.1

CLI tool to convert Context7 llms.txt format to locally organized markdown documentation

Context7 to Markdown (c2md)

A blazing fast CLI tool that converts Context7 URLs & llms.txt files to organized markdown documentation with automatic directory structure, multi-language parsing support, and table of contents generation. Supports both local files and direct URLs from Context7.com.

Install with pip

pip install c2md

Install with uv

uv pip install c2md

uvx c2md

Features

⚓ Convert Context7 to Markdown

Transform Context7 links or llms.txt files into clean, organized markdown documentation.

🧠 Smart Organization

Automatically organizes markdown files into logical directory structures based on source URLs.

🗨️ Multi-Language Support

Consolidates multi-language sections into a single document.

📜 Table of Contents

Generates comprehensive index files to provide context to your agent.

🗺️ URL Mapping

Intelligently maps source URLs to appropriate file paths and names

❌ Error Handling

Robust error handling with detailed feedback for troubleshooting

Why c2md? 🤔

MCP is clunky, slow, adds additional prompt context, and time consuming.

With c2md, you can pass a specific section of a technology's documentation to an agent. Instead of fairly unreliable natural language search with the Context7 MCP server, you can just attach the @/path/to/000-index.md to your agent.

Depending on the number of locally available documentation sections/files, this can save tokens/context. For example, the Neon docs have around 240 sections (520,000 tokens), with the total 000-index.md costing around 4,000 tokens; alternatively, calls to the Context7 MCP can cost anywhere from 8,000 to 20,000 tokens.

Installation

Using pip

pip install c2md

Using uv

uv pip install c2md

or

uvx c2md

📋 Requirements

• Python 3.8 or higher
• No external dependencies required unless developing

🛠️ Usage

After installation, use the c2md command:

Basic Usage

# From local file - output defaults to ./output/
c2md /path/to/llms.txt

# From Context7 URL (must include tokens parameter)
c2md https://context7.com/context7/neon/llms.txt?tokens=519821

Advanced Usage

# Specify output directory, 001-index.md (ToC) generated in output root
c2md /path/to/llms.txt -d /path/to/output

# From Context7 URL with output directory
c2md https://context7.com/context7/neon/llms.txt?tokens=519821 -d .docs/neon

# Disable ToC generation
c2md /path/to/llms.txt --no-tree

# Full example with all options, no ToC/tree
c2md https://context7.com/context7/supabase/llms.txt?tokens=1000000 -d /path/to/output --no-tree

Command Line Options

• input_file: Path to the Context7 format input file or Context7 URL (required)
• -d, --directory: Output directory (default: current directory)
• -T, --tree: Generate table of contents index (default: enabled)
• --no-tree: Disable table of contents generation
• -h, --help: Show help message and exit

Developing locally & contributing

Contributing 🤝

Contributions are welcome! Please feel free to submit a PR if you would like to contribute or have an issue.

Development Installation

# Clone the repository
git clone https://github.com/crisp-sh/context7-to-markdown.git
cd context7-to-markdown

# Install in development mode
pip install -e .

Output Structure

The tool creates an organized directory structure:

output/
├── 001-index.md                    # Table of contents (if enabled)
├── domain1.com/
│   ├── section1/
│   │   ├── 001-page1.md
│   │   └── 002-page2.md
│   └── section2/
│       └── 001-page3.md
└── domain2.com/
    └── docs/
        └── 001-guide.md

Context7 Format

The tool processes Context7 format files, which should contain entries with:

• SOURCE: URL or source identifier
• CONTENT: The actual content to be converted
• TITLE: Optional title for the content
• LANGUAGE: Denotes a multi-language document

Architecture

The tool consists of several modular components:

• Parser: Processes Context7 format files
• URL Mapper: Maps source URLs to file paths
• File Organizer: Organizes content into directory structures
• Markdown Writer: Generates clean markdown files
• Index Generator: Creates table of contents

Testing

Run the test suite using Hatch:

# Run tests
hatch run test

# Run tests with coverage
hatch run test-cov

# Run specific test file
hatch run test tests/test_specific.py

Legacy Testing

# Install development dependencies
pip install -e ".[dev]"

# Run tests
python -m unittest discover tests

# Run tests with coverage
python -m unittest discover tests

Releasing

This project uses automated versioned releases with Hatch for version management.

Quick Release

# Create a patch release (0.1.0 → 0.1.1)
hatch run release patch

# Create a minor release (0.1.0 → 0.2.0)
hatch run release minor

# Create a major release (0.1.0 → 1.0.0)
hatch run release major

Development Setup

# Clone the repository
git clone https://github.com/crisp-sh/context7-to-markdown.git
cd context7-to-markdown

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install
pip install -e .

Running Tests

# Run all tests with Hatch
hatch run test

# Run specific test file
hatch run test tests/test_specific.py

# Run tests with coverage
hatch run test-cov

Bug Reports

If you encounter any issues, please report them on the GitHub Issues page.