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Query Python code graphs to inspect structure, calls, and test coverage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codescan" yet — see the docs or source repo.
Use codescan to query this Python project's code structure and list the main modules, classes, and functions hierarchically.
A structured overview of the main code elements and their hierarchy in the project.
Use codescan to analyze the call relationships of function foo in the project, including what it calls and what calls it.
A call graph or relationship list showing upstream and downstream calls for foo.
Use codescan to query test coverage for this Python project and identify modules or functions with missing coverage.
A test coverage analysis highlighting code areas with insufficient coverage.
When taking over an existing Python codebase, developers can use it to query code structure and quickly understand how modules, classes, and functions are organized.
Before changing a core function, developers can inspect the call graph to understand upstream and downstream dependencies and assess the impact of the change.
During quality checks, teams can use test coverage analysis to find under-tested modules or functions and prioritize additional tests.
It is an MCP tool for querying a Neo4j-based code graph of Python projects, supporting code structure, call graph, and test coverage analysis.
The provided information only explicitly mentions Python projects. For support of other languages or project types, see the source repository.
It is known to rely on a Neo4j-based code graph. For installation steps, runtime requirements, or any credential needs, see the source repository.
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