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Analyze multi-language codebases with semantic search and static analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codeweaver-mcp" yet — see the docs or source repo.
Analyze this project containing Java, TypeScript, and Python. Summarize the overall architecture, main modules, key dependencies, and the responsibility of each module.
A high-level project map, module explanations, dependency summary, and practical onboarding guidance.
Use semantic search to find code related to user permission checks and session expiration handling. List the most relevant files and functions, and explain their call relationships.
Relevant code locations, function list, and call-chain explanations to quickly pinpoint implementation details.
Run static analysis on this codebase, focusing on potential null pointer issues, unused code, type inconsistencies, and maintainability risks. Rank findings by severity.
A prioritized issue list with locations, explanations, and recommended fixes.
Search, analyze, navigate, and scan multilingual codebases without API keys.
Index source code locally to query symbols, dependencies, and tree structure.
Use AI to understand codebases, key files, and project flows quickly.
Index local repositories for semantic search and structured code understanding.
Search code semantically and answer questions about a codebase.
Provide AI agents with developer utilities like code review, JSON formatting, and password generation.