What languages does Joern MCP support?
Java, C/C++, JavaScript, Python, Go, Kotlin, C#, Ghidra, Jimple, PHP, Ruby, and Swift.
@Lekssays
基本信息
A Model Context Protocol (MCP) server that provides AI assistants with static code analysis capabilities using Joern's Code Property Graph (CPG) technology.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"joern-mcp": {
"url": "https://0.0.0.0:4242/mcp"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,直接连接服务器端点实时获取工具列表。
Joern MCP is a Model Context Protocol (MCP) server that provides AI assistants with static code analysis capabilities using Joern’s Code Property Graph (CPG) technology. It supports multi‑language analysis (Java, C/C++, JavaScript, Python, Go, Kotlin, C#, Ghidra, Jimple, PHP, Ruby, Swift), runs each analysis session in a Docker container, and can analyze repositories directly from GitHub URLs.
To use Joern MCP, clone the repository, install Python dependencies, run ./setup.sh to build the Joern Docker image and start Redis, then launch the server with python main.py. The server uses Streamable HTTP transport and is available at http://localhost:4242. Integration with GitHub Copilot is done by adding the server URL to VS Code’s settings.json.
Java, C/C++, JavaScript, Python, Go, Kotlin, C#, Ghidra, Jimple, PHP, Ruby, and Swift.
Python 3.8+, Docker, Redis, and Git are required.
Sessions, query results, and CPG data are cached in Redis and automatically cleaned up based on a configurable TTL and concurrency limit.
The server uses Streamable HTTP transport, making it network‑accessible and able to handle multiple concurrent clients.
Yes, memory limits for Joern can be set via environment variables (`JOERN_MEMORY_LIMIT`, `JOERN_JAVA_OPTS`) or in the `config.yaml` file.
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