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Analyze project architecture, map dependencies, and predict code change impact.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-codebase-oracle" yet — see the docs or source repo.
Analyze this codebase's overall architecture. Identify core modules, inter-module dependencies, and the main entry points, service layer, and data layer, then summarize them in a clear structured format.
A project architecture overview with module responsibilities, layer relationships, and key dependency notes.
If I modify the login logic in the user authentication module, analyze the potentially affected files, upstream and downstream call chains, related tests, and risks, then rank them by high, medium, and low priority.
A code change impact analysis listing affected components, test recommendations, and prioritized risks.
Generate build-time and runtime dependency graphs for this project. Distinguish internal module dependencies from external library dependencies, and point out highly coupled areas or parts that may need refactoring.
A dependency graph summary that highlights critical paths, external dependencies, and refactoring opportunities.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Analyze, match, and transform code structures across multiple programming languages.
Analyze code, collect code assets, and generate technical documentation automatically.
Access Oracle databases for schema exploration, query execution, and performance analysis.
Diagnose Oracle SQL performance and analyze AWR reports to find database bottlenecks.
Analyze project architecture and detect similar code patterns for cross-language consistency.