jarp-mcp
Java Archive Reader Protocol MCP server - Give AI agents X-ray vision into compiled Java code by decompiling JAR/WAR/EAR files and Maven/Gradle dependencies
JARP-MCP
⚡ Get Started in 10 Seconds
Add this to your AI editor's MCP configuration:
{
"mcpServers": {
"jarp-mcp": {
"command": "npx",
"args": ["-y", "jarp-mcp"]
}
}
}
That's it. No installation. No configuration. CFR decompiler bundled.
What this enables: Your AI agent (Claude, Cursor, Windsurf, Cline, etc.) can now:
- Decompile any Java class from your dependencies
- Analyze class structure, methods, and fields
- Read actual source code instead of guessing
Restart your AI editor and try: "Show me the source code for JpaRepository"
The Problem
AI agents like Claude, GPT-4, and Cursor cannot read compiled Java code. When working with Spring Boot, Maven, or any Java project:
"Show me how JpaRepository.saveAll() works" → Agent hallucinates the method signature
"What parameters does this internal library function take?" → Agent guesses wrong
"Why does this dependency throw this exception?" → Agent cannot see the source
Developers spend 5-10 minutes per class manually decompiling with JD-GUI, copying source, and pasting into chat.
The Solution
JARP-MCP gives AI agents instant access to decompiled Java source code from your Maven & Gradle dependencies.
┌─────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ LLM Agent │ ───▶ │ JARP-MCP │ ───▶ │ Maven/Gradle │
│ (Claude/ │ │ (MCP Server) │ │ + .m2 Repo │
│ Cursor) │ │ │ │ │
└─────────────┘ └──────────────────┘ └─────────────────┘
│
▼
┌──────────────┐
│ CFR 0.152 │
│ Decompiler │
└──────────────┘
Impact
| Metric | Before | After |
|---|---|---|
| Time to inspect a class | 5-10 min | <2 seconds |
| Accuracy of AI responses | ~60% (guessing) | 100% (actual source) |
| Manual steps | 4+ | 0 |
MCP Tools
| Tool | What It Does |
|---|---|
scan_dependencies | Scans your Maven/Gradle project, builds class → JAR index |
decompile_class | Returns full Java source code for any class |
analyze_class | Analyzes class structure, methods, fields, inheritance |
Example Usage
// In your AI assistant chat:
"Scan my Spring Boot project and decompile JpaRepository"
The agent uses JARP-MCP to:
- Scan all dependencies in
pom.xml - Find the JAR containing
JpaRepository - Decompile it using CFR
- Return the actual source code
Result: Accurate answers based on real code, not guesses.
Tech Stack
JARP-MCP
├── Language: TypeScript 5.7
├── Runtime: Node.js 16+
├── Protocol: Model Context Protocol (MCP)
├── Decompiler: CFR 0.152 (bundled)
├── Build: tsc
├── Package: npm (zero-setup with npx)
└── License: Apache-2.0
Key Implementation Details
- Zero external dependencies — CFR decompiler bundled (2.2MB JAR)
- Smart path resolution — Works with
npx,npm install -g, local dev - Maven & Gradle support — Parses
pom.xmlandbuild.gradle - Intelligent caching — First decompile ~2s, subsequent <100ms
- Auto-indexing — Builds class index on-demand if missing
Installation
Zero-Setup (Recommended)
npx jarp-mcp
No installation required. Everything is bundled.
Global Install
npm install -g jarp-mcp
jarp-mcp start
From Source
git clone https://github.com/tersePrompts/jarp-mcp.git
cd jarp-mcp
npm install
npm run build
MCP Configuration
Quick Setup — Works with any MCP-compatible AI editor:
{
"mcpServers": {
"jarp-mcp": {
"command": "npx",
"args": ["-y", "jarp-mcp"]
}
}
}
Platform-Specific Setup
Claude Code (CLI)
Create .claude/mcp-config.json in your Java project root:
{
"mcpServers": {
"jarp-mcp": {
"command": "npx",
"args": ["-y", "jarp-mcp"]
}
}
}
Claude Desktop
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"jarp-mcp": {
"command": "npx",
"args": ["-y", "jarp-mcp"]
}
}
}
Cursor IDE
Settings → MCP Servers → Add Server:
{
"mcpServers": {
"jarp-mcp": {
"command": "npx",
"args": ["-y", "jarp-mcp"]
}
}
}
Or in .cursorrules:
{
"mcpServers": {
"jarp-mcp": {
"command": "npx",
"args": ["-y", "jarp-mcp"]
}
}
}
Postman (with MCP Support)
- Open Postman → Settings → MCP Servers
- Add new server:
{
"name": "jarp-mcp",
"command": "npx",
"args": ["-y", "jarp-mcp"]
}
Windsurf IDE
In .windsurfrules or project settings:
{
"mcpServers": {
"jarp-mcp": {
"command": "npx",
"args": ["-y", "jarp-mcp"]
}
}
}
Cline (VSCode Extension)
In .clinerules or project settings:
{
"mcpServers": {
"jarp-mcp": {
"command": "npx",
"args": ["-y", "jarp-mcp"]
}
}
}
Performance
| Operation | First Run | Cached |
|---|---|---|
| Scan 100 JARs | ~30s | N/A |
| Decompile class | ~2s | <100ms |
| Analyze structure | ~2s | <100ms |
Real-world: Spring Boot project with 156 dependencies, 12,458 classes
- Initial scan: 45 seconds
- Each class: ~1.5s first time, instant thereafter
Links
- npm: https://www.npmjs.com/package/jarp-mcp
- GitHub: https://github.com/tersePrompts/jarp-mcp
- MCP Protocol: https://modelcontextprotocol.io
Works with any MCP client over STDIO — Claude, Cursor, Windsurf, Cline, Postman, and more.
License
Apache License 2.0 — see LICENSE
Acknowledgments
- handsomestWei — Original java-class-analyzer-mcp-server
- Lee Benfield — CFR Decompiler
- Anthropic — Claude & MCP ecosystem
Built with ❤️ for the AI-powered development community
Servidores relacionados
Alpha Vantage MCP Server
patrocinadorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Next.js MCP Server
A Next.js-based MCP server with OAuth 2.1 authentication support using Google as the default provider. Requires a PostgreSQL database and optionally Redis for SSE transport.
VibeShift
An intelligent security agent that analyzes AI-generated code for vulnerabilities and assists with remediation.
SR MCP
SR MCP-server: Access Swedish Radio open data. (Sveriges Radio)
MCP Server Starter
A TypeScript starter template for building Model Context Protocol (MCP) servers.
Swap API
Free token swaps for AI agents. No API keys. Returns executable transaction calldata for 40+ EVM chains.
MCP Cat PSQL
An example of a remote, authentication-free MCP server deployable on Cloudflare Workers.
LangSmith MCP Server
An MCP server for fetching conversation history and prompts from the LangSmith observability platform.
LLM API Benchmark MCP Server
Benchmark LLM APIs for throughput and Time To First Token (TTFT) under various concurrency levels.
Dify Workflow
A tool server for integrating Dify Workflows via the Model Context Protocol (MCP).
FLUX Image Generator
Generate images using Black Forest Lab's FLUX model.