Maven Decoder MCP Server

A comprehensive Model Context Protocol (MCP) server for analyzing Maven jar files in your local repository (~/.m2). This server provides powerful tools for agentic coding assistance in Java projects, enabling AI agents to understand dependencies, analyze bytecode, extract source code, and navigate the Maven ecosystem.

🚀 Features

Core Functionality

• Jar File Analysis: Deep inspection of jar files including metadata, manifests, and structure

• Dependency Resolution: Complete dependency tree analysis with transitive dependencies

• Source Code Extraction: Extract source code from source jars or decompile bytecode

• Class Information: Detailed class signatures, methods, fields, and annotations

• Search Capabilities: Find classes, methods, and dependencies across all artifacts

• Version Management: Compare versions, find dependents, and track version conflicts

Advanced Features

• Decompilation Support: Integrated support for multiple Java decompilers (CFR, Fernflower, Procyon)

• Conflict Analysis: Detect and analyze dependency version conflicts

• Repository Navigation: Browse and explore the local Maven repository structure

• Metadata Parsing: Extract and parse Maven POM files and metadata

• Service Discovery: Find and analyze Java services and SPI implementations

• Response Management: Intelligent pagination and summarization for large responses

• Method Extraction: Extract specific methods from large Java classes

📦 Installation

Prerequisites

• Java 8+ (for decompilation features)

• Maven local repository (~/.m2/repository)

• One of: Python 3.8+, Node.js 14+, or Docker

🚀 Quick Install

One-Line Install (Recommended)

curl -fsSL https://raw.githubusercontent.com/salitaba/maven-decoder-mcp/main/install.sh | bash

📋 Installation Methods

Method 1: uvx (Recommended)

# Install uv (if not installed)
curl -Ls https://astral.sh/uv/install.sh | sh
# Ensure your shell PATH is updated (restart shell or eval as printed by installer)

# Run the server via uvx (isolated, fast, no venv needed)
uvx maven-decoder-mcp

# Optional: pick a specific Python
# uvx --python 3.12 maven-decoder-mcp

Method 2: Node.js/npm

# Install globally
npm install -g maven-decoder-mcp

# Or install locally
npm install maven-decoder-mcp

# Run the server
maven-decoder-mcp
# or if installed locally: npx maven-decoder-mcp

Method 3: Docker

# Pull and run
docker run --rm -it \
  -v ~/.m2:/home/mcpuser/.m2 \
  -v $(pwd):/workspace \
  ali79taba/maven-decoder-mcp:latest

Method 4: From Source (Development)

# Clone repository
git clone https://github.com/salitaba/maven-decoder-mcp.git
cd maven-decoder-mcp

# Option A: Using Virtual Environment
python3 -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r requirements.txt
pip install "git+https://github.com/modelcontextprotocol/python-sdk.git"
./setup_decompilers.sh

# Option B: System-wide Installation (not recommended)
./setup_decompilers.sh

🔧 Configuration

For Cursor IDE

Add to your ~/.cursor/mcp_servers.json:

{
  "maven-decoder": {
    "command": "uvx",
    "args": ["maven-decoder-mcp"]
  }
}

For Other MCP Clients

The server runs as a standard MCP server and can be integrated with any MCP-compatible client.

🧠 AI Agent Skill

This repository includes a maven-code-search agent skill that tells AI coding agents when and how to use this MCP for searching installed Maven package code.

npx skills add https://github.com/salitaba/maven-decoder-mcp --skill maven-code-search

The skill is located at skills/maven-code-search and is ready for skills.sh indexing after the repository is pushed.

🛠️ Available Tools

💡 Usage Examples

Finding Dependencies

"Show me all dependencies of org.springframework:spring-core:5.3.21"

Decompiling Classes

"Decompile the class com.example.MyService from my Maven repository"

Analyzing Conflicts

"Find all version conflicts in my Maven repository"

Exploring APIs

"Show me all public methods in the Jackson ObjectMapper class"

Inspecting Compiled-Only Artifacts

"The sources jar is missing. Use extract_class_info for bytecode-backed fields and methods."
"Find and read .proto resources from com.example:protobuf-lib:1.0.0"

When a dependency has no sources jar, extract_class_info uses javap internally and returns parsed fields, methods, bytecode version, and optional verbose bytecode output. Agents should use analyze_jar, extract_class_info, extract_source_code, and extract_jar_resource through this MCP instead of running jar or javap directly.

Working with Large Responses

"List all Spring classes with pagination (page 2, 10 items per page)"
"Extract source code for a large class with summarization"
"Get method information for specific patterns in a class"

🔄 Response Management

Pagination Support

The server automatically handles large responses through intelligent pagination:

• Automatic Detection: Responses exceeding 50KB are automatically paginated

• Configurable Page Size: Default 20 items per page, customizable per request

• Pagination Metadata: Each response includes pagination information

• Supported Tools: list_artifacts, extract_class_info, search_classes, get_dependencies, find_dependents, get_version_info

Summarization Features

Large text content is automatically summarized to improve readability:

• Smart Summarization: Preserves important parts (package declarations, method signatures, closing braces)

• Configurable Limits: Default 10KB text limit, customizable

• Java-Specific: Optimized for Java source code structure

• Metadata Preservation: Original structure and metadata are maintained

Method Extraction

New tool for targeted access to specific methods:

• Pattern Matching: Use regex patterns to find specific methods

• Limited Results: Control the number of methods returned

• Full Context: Includes method signatures, bodies, and line numbers

• Efficient Processing: Only extracts requested methods, not entire classes

🏗️ Architecture

The server is built with a modular architecture:

• MavenDecoderServer: Main MCP server implementation

• ResponseManager: Handles pagination and summarization

• JavaDecompiler: Handles multiple decompilation strategies

• MavenDependencyAnalyzer: Analyzes Maven dependencies and metadata

• Decompilers: CFR, Procyon, Fernflower, and javap integration

🧪 Development

Running Tests

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

# Run tests
pytest

# Run specific test
python test_startup.py

Building Package

# Build distribution
python setup.py sdist bdist_wheel

# Install locally
pip install dist/maven_decoder_mcp-*.whl

Docker Development

# Build Docker image
docker build -t maven-decoder-mcp .

# Run container
docker run --rm -it maven-decoder-mcp

📝 Configuration Options

Environment Variables

• MAVEN_HOME: Custom Maven repository location (default: ~/.m2/repository)

• MCP_LOG_LEVEL: Logging level (DEBUG, INFO, WARNING, ERROR)

• MCP_MAX_RESPONSE_SIZE: Maximum response size in bytes (default: 50000)

• MCP_MAX_ITEMS_PER_PAGE: Default items per page (default: 20)

• MCP_MAX_TEXT_LENGTH: Maximum text length before summarization (default: 10000)

• MCP_MAX_LINES: Maximum lines before summarization (default: 500)

Advanced Configuration

The server automatically detects and configures:

• Maven repository location

• Available Java decompilers

• System capabilities

🔍 Troubleshooting

Common Issues

Server won't start

# Check Python installation
python --version

# Check Maven repository
ls ~/.m2/repository

# Check logs
maven-decoder-mcp --debug

Decompilation fails

# Check Java installation
java -version

# Setup decompilers manually
maven-decoder-setup decompilers

No artifacts found

# Verify Maven repository location
ls ~/.m2/repository

# Run a Maven build to populate repository
mvn dependency:resolve

🤝 Contributing

1. Fork the repository

2. Create a feature branch (git checkout -b feature/amazing-feature)

3. Commit your changes (git commit -m 'Add amazing feature')

4. Push to the branch (git push origin feature/amazing-feature)

5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Model Context Protocol - The protocol that powers this server

• CFR - Java decompiler

• Procyon - Java decompiler

• Maven - Dependency management

📊 Stats

Made with ❤️ for the Java development community