Break down complex coding problems into structured, self-auditing thought steps. Enables branching, revising, and backtracking to explore solutions systematically before finalizing a response.
Automate code reviews for GitHub pull requests using AI and static analysis tools. Fetch PR diffs, analyze code, execute tests, and generate detailed reports with inline comments for improved code quality.
Execute JavaScript code securely in a sandbox environment, with options for NPM commands, JSON parsing, and configurable timeouts. Ideal for testing and automation tasks on the Dumpling AI MCP Server.
Execute Python code securely in a sandbox environment, with options for pip install commands, JSON parsing, timeout, memory allocation, and saving output files.
Automatically generates mind map images from text content using Coze API workflow. Returns accessible image links that can be used in MCP-compatible tools like CodeBuddy, Cursor, and Qoder.
Enables users to manage GitCode repositories and automatically generate mind maps from project README files using Coze workflows. It serves as an architectural assistant to help developers quickly understand codebase structures and automate repository management tasks.
Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.