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Analyze local codebases securely with AI-powered code intelligence and automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CodeAtlas MCP Enterprise" yet — see the docs or source repo.
Perform AST-level analysis on the current local repository, map the main modules, key classes and function dependencies, and identify the top 3 places most suitable for refactoring.
A code structure overview, dependency explanation, and a prioritized refactoring suggestion list with reasons.
Inspect the login method in the user authentication module, analyze which files, functions, and APIs call it, and assess the impact of changing its method signature.
A call-chain and impact analysis including affected files, potential risks, and change recommendations.
Without uploading any code, review the current repository, find duplicated logic and reusable components, and provide draft refactoring code for them.
A local-code-based duplication report, reusability suggestions, and example refactoring drafts.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Gives AI coding agents repository intelligence, dependency analysis, and impact insights.
Build, debug, and manage software tasks with natural language across LLMs.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Adds web access, computation, code execution, and file RAG to local LLMs.