Discover and analyze code patterns across programming languages within a knowledge graph. Filter results by language or pattern name to enhance code understanding and retrieval.
Analyze and trace code execution paths with semantic understanding, identifying data flows and dependencies to debug complex distributed systems efficiently.
Discover code examples in Bear notes by specifying a programming language and topic. Extract code blocks from relevant notes to solve coding challenges or learn new concepts efficiently.
Run Python code directly in FreeCAD to control its functionality. Returns execution status, output, and object screenshots for integration and automation tasks.
Resumes paused code execution in the MCP NodeJS Debugger, allowing you to continue debugging by stepping through the program after inspecting variables or setting breakpoints.
Executes Python code in isolated rootless containers while proxying MCP server tools, reducing context overhead by 95%+ and enabling complex multi-tool workflows through sandboxed code execution.
Enables execution of code in a sandbox environment with integrated web search capabilities. Provides a basic framework for running code safely, primarily designed for AI agents and research applications.