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MCP Joern
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What is Joern MCP Server?
The Joern MCP Server is a specialized service that enhances Joern's code analysis capabilities by providing a protocol for model context interaction. It helps developers identify security vulnerabilities and review code more efficiently.How to use Joern MCP Server?
The server runs alongside Joern and processes requests for code analysis. You interact with it through configured clients that send analysis requests and receive structured results.Use Cases
Ideal for security researchers analyzing code vulnerabilities, developers conducting code reviews, and teams implementing automated security checks in their CI/CD pipeline.Key Features
Advanced Code AnalysisLeverages Joern's code property graphs to perform deep static analysis of source code.
AI-Assisted ReviewIntegrates with large language models to provide intelligent code review suggestions.
Extensible ToolsetSupports custom analysis tools written in Scala that can be imported into the server.
Pros and Cons
Advantages
Provides structured access to Joern's analysis capabilities
Supports custom analysis tools for specialized use cases
Enables integration with AI models for enhanced code review
Limitations
Requires significant memory resources (40GB+ recommended)
Setup involves multiple configuration steps
Limited to languages supported by Joern
Getting Started
Install DependenciesEnsure you have Python 3.10+ and Joern installed on your system.
Set Up the EnvironmentClone the repository and install Python dependencies using uv.
Start Joern ServerLaunch the Joern server with the required configuration.
Configure MCP ClientUpdate the .env file with your server credentials and test the connection.
Example Use Cases
Identifying VulnerabilitiesFind potential security vulnerabilities in a codebase by analyzing data flows.
API Usage AnalysisIdentify all external API calls and their parameters in the code.
Frequently Asked Questions
1
What are the system requirements?You need Python 3.10+ and Joern installed. The server requires at least 40GB of memory for optimal performance.
2
How do I add custom analysis tools?Implement your tools in Scala (server_tools.sc), add Python definitions in server_tools.py, and test them in test_mcp_client.py.
3
Can I use this with other code analysis tools?The MCP server is specifically designed for Joern, but you could potentially integrate it with other tools through custom development.
Additional Resources
Joern DocumentationOfficial documentation for Joern server
JEB MCP ReferenceReference implementation of MCP protocol
Joern Interpreter GuideGuide to Joern's query language
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