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Enable AI agents and IDEs to search codebases with hybrid retrieval and precise line-level citations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codebase-analyser" yet — see the docs or source repo.
Use codebase-analyser to search the repository for `OrderService` definitions and all call sites, and return file paths, line numbers, and context snippets.
Returns exact line-level references for each match, enabling quick confirmation of how the service is referenced across the codebase.
Use codebase-analyser to semantically search for code snippets related to "permission checks", returning exact line numbers and ordering results by relevance.
Outputs files and lines most relevant to permission-checking semantics, helping focus on potential security and logic boundaries.
I am preparing a payment refactor. Search `payment`-related core classes, interfaces, and config files, and provide a module-wise list with line-level citations.
Provides module-wise matches with line numbers so you can assess the refactor scope and impact.
When joining a large legacy project, developers can quickly locate key concepts and call chains with codebase-analyser, accelerating understanding of the repository structure.
During debugging, use it to locate suspicious logic and get line-level evidence, reducing manual file-by-file navigation.
Before refactoring, search related interfaces and dependencies and confirm affected files with precise references to avoid missing implicit usages.
It is an MCP tool for AI agents and IDEs that ingests and searches code repositories, supporting hybrid dense and sparse retrieval with precise line-level citations for code analysis.
Only the functional description is provided here; installation steps, runtime, or credential requirements are not specified. Please refer to the source repository documentation.
Its key traits are hybrid retrieval (dense plus sparse) and exact line citations, suitable for semantic matching with traceable evidence in code analysis. See the source repository for more details.
Search and navigate multiple code repositories with natural language understanding.
Ask natural-language questions over codebases with citations and impact analysis.
Local hybrid search and SQL aggregation for code agents.
Search codebases semantically and find relevant snippets with source locations.
Gives AI assistants indexed search and analysis for multi-language codebases.
Search indexed codebases semantically with natural language across MCP clients.