Skip to content
Conduit

mcp server

repocontext

Next-gen AST codebase map, token compression, and context packaging engine for AI coding agents & IDEs

ILoveMyJay/repocontextcommunitylistedunreviewed

Set up

Runs on your computer. Pick your agent and operating system.

Before you start

  • Node.js 20 or newer
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ilovemyjay-repocontext": {
      "command": "npx",
      "args": [
        "-y",
        "repocontext"
      ]
    }
  }
}

same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12

Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs

README

synced Oct 14, 2026

⚡ RepoContext

CI Glama Score npm version License: MIT MCP Compatible TypeScript

The Next-Generation AST Codebase Map, Token Compression, and Context Packaging Engine for AI Coding Agents and IDEs.

English | 中文说明


🌟 Why RepoContext?

When feeding codebases into modern AI coding assistants (Claude Code, Cursor, Windsurf, OpenAI Codex, Antigravity, Cline), developers face three critical bottlenecks:

  1. 💥 Token Explosion & High API Costs: Raw code dumps quickly exceed context limits or cost tens of dollars per query.
  2. 📉 Low Signal-to-Noise Ratio: 80% of lines are routine implementation details. LLMs only need the semantic API surface (signatures, types, interfaces, docstrings).
  3. 🔓 Security Leaks: Accidental exposure of .env credentials, 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:

OptionDescriptionDefault
-m, --mode <mode>Packing mode: full, ast, relevant, hybrid"full"
-q, --query <query>Filter and rank files relevant to coding promptNone
-f, --format <format>Output format: markdown, xml, json"markdown"
-o, --output <file>Output file path"repocontext-output.md"
-t, --max-tokens <num>Maximum token budget80000
-c, --copyCopy output directly to system clipboardfalse
--no-securityDisable automated secret redactionfalse

🔌 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

FeatureRaw ConcatenationRepomixRepoContext
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.

↑↓ navigate openesc close