⚡ RepoContext
The Next-Generation AST Codebase Map, Token Compression, and Context Packaging Engine for AI Coding Agents and IDEs.
🌟 Why RepoContext?
When feeding codebases into modern AI coding assistants (Claude Code, Cursor, Windsurf, OpenAI Codex, Antigravity, Cline), developers face three critical bottlenecks:
- 💥 Token Explosion & High API Costs: Raw code dumps quickly exceed context limits or cost tens of dollars per query.
- 📉 Low Signal-to-Noise Ratio: 80% of lines are routine implementation details. LLMs only need the semantic API surface (signatures, types, interfaces, docstrings).
- 🔓 Security Leaks: Accidental exposure of
.envcredentials, API keys, and database URIs in prompts.
RepoContext solves all three with intelligent AST outline pruning, task-focused semantic file ranking, automated credential redaction, and native Model Context Protocol (MCP) integration.
🚀 Key Features
- ⚡ AST Codebase Map & Skeletonizer: Compresses source files by 70%~85% while retaining 100% of interfaces, types, functions, and JSDoc/docstrings.
- 🎯 Task-Oriented Relevance Pruning: Pass your prompt query (e.g.
repocontext pack -q "Fix JWT auth token expiry") to automatically rank and pack only the most critical files. - 🛡️ Automated Secret Scanner & Redaction: Built-in entropy and regex scanner detects and masks OpenAI keys, GitHub tokens, AWS keys, JWTs, and database URIs.
- 🔌 Native Model Context Protocol (MCP) Server: Directly integrates with Claude Desktop, Cursor, Windsurf, and Antigravity via standard MCP tools.
- 📑 Multi-Format Export: Generates clean Markdown with directory trees, Claude-optimized XML (
<documents>), or structured JSON. - 📊 Multi-Model Token & Cost Analytics: Real-time token counter with cost estimates for GPT-4o, GPT-5, Claude 3.5 Sonnet, and Gemini 1.5 Pro.
📦 Quick Start
1. Run without installation via npx
# Pack entire repository into an optimized Markdown prompt
npx repocontext pack
# Pack only files relevant to a specific task prompt
npx repocontext pack -q "Implement Stripe payment webhook handler" -o prompt.md
# Generate lightweight AST skeleton map (75%+ token reduction)
npx repocontext map -o codebase-map.md
2. Global Installation
npm install -g repocontext
🛠️ CLI Usage & Options
# 1. Pack with direct clipboard copy (ready to paste into ChatGPT/Claude)
repocontext pack -c
# 2. Pack relevant files only based on task query
repocontext pack -q "Fix JWT auth expiration" -o prompt.md
# 3. Generate AST symbol map
repocontext map -c
# 4. Analyze token distribution without writing a file
repocontext analyze .
Options for pack:
| Option | Description | Default |
|---|---|---|
-m, --mode <mode> | Packing mode: full, ast, relevant, hybrid | "full" |
-q, --query <query> | Filter and rank files relevant to coding prompt | None |
-f, --format <format> | Output format: markdown, xml, json | "markdown" |
-o, --output <file> | Output file path | "repocontext-output.md" |
-t, --max-tokens <num> | Maximum token budget | 80000 |
-c, --copy | Copy output directly to system clipboard | false |
--no-security | Disable automated secret redaction | false |
🔌 Model Context Protocol (MCP) Integration
RepoContext comes with built-in MCP server support. Add it to your claude_desktop_config.json or Cursor/Windsurf MCP settings:
{
"mcpServers": {
"repocontext": {
"command": "npx",
"args": ["-y", "repocontext", "mcp"]
}
}
}
Exposed MCP Tools (4-Tier Context Pyramid):
get_codebase_map: Extracts token-efficient AST symbol outline map across the repository (~80% token savings).extract_relevant_context: Prunes codebase using semantic ranking to return files pertinent to a task prompt.read_file_outline: Reads compressed AST skeleton for an individual file (signatures & docstrings).read_file_content: Precise source code reading with optional line-range slicing (startLine/endLine) and automated credential masking.
📊 Benchmark & Comparison
| Feature | Raw Concatenation | Repomix | RepoContext |
|---|---|---|---|
| AST Skeleton Pruning | ❌ No | ❌ No | ✅ Yes (80% Token Savings) |
| Task Relevance Ranker | ❌ No | ❌ No | ✅ Yes (Query-guided Pruning) |
| Secret Auto-Redaction | ❌ No | ⚠️ Basic | ✅ Yes (10+ Security Rules) |
| Native MCP Server | ❌ No | ❌ No | ✅ Yes (Claude / Cursor / Windsurf) |
| Multi-Model Cost Est. | ❌ No | ❌ No | ✅ Yes (GPT-4o/5, Claude, Gemini) |
🤝 Contributing
Contributions, issues and feature requests are welcome! Feel free to check issues page.
📄 License
This project is MIT licensed.