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Statically analyze Python code structure and dependencies without running the code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "python-mcp-server" yet — see the docs or source repo.
Statically analyze this Python project. List the main modules, classes, and functions, describe their call relationships, and summarize the project structure hierarchically.
A clear overview of the project structure, including modules, classes, functions, and key relationships.
Inspect the imports, internal dependencies, and external dependencies in this Python code. Identify unused imports, suspicious circular dependencies, and possibly missing packages.
A dependency inspection report highlighting unused imports, circular dependency risks, and dependency issues.
Scan the codebase and find classes, functions, and methods related to user authentication. Show their file locations, parameters, return values, and relationships.
A list of authentication-related definitions with their locations and purpose descriptions.
Analyze PyPI packages for dependencies, security, licenses, health, and trends.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Connect to Jupyter via MCP to run code and explore data interactively.
Analyze, match, and transform code structures across multiple programming languages.
Perform static taint analysis on Python code to detect security vulnerabilities.
Build and use a secure Python MCP server and client with tools and resources.