Analyze repository structure and quality with a deep audit. Examine code structure, language mix, and quality signals for local or remote repositories.
MIT
457,863 tools. Updated 2026-08-14 18:31
"A tool for analyzing Python repository structure and code relationships" matching MCP tools:
- Generate executable Python code for nonlinear programming, rootfinding, ODE/DAE simulation, and optimal control, with an explanation of the approach.MIT
- Check Python tool code for syntax errors and banned patterns to validate it before saving.MIT
- Run Python code in a sandbox with numpy, math, and ax_core.argmin. Use export(name, value) to return results.MIT
- Formats Python source code using Black and returns the formatted output. Does not save input, safe for read-only tokens.MIT
- Scan Python code with Bandit to uncover security vulnerabilities including SQL injection, hardcoded secrets, and unsafe functions.MIT No Attribution
Matching MCP Servers
- AlicenseAqualityAmaintenanceValidates AI-generated Python: syntax, lint, security scan and deterministic repair.83MIT
- Alicense-qualityDmaintenanceEnables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.8Apache 2.0
Matching MCP Connectors
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
Validates AI-generated Python: syntax, lint, security scan and deterministic repair.
- Generate Python code to fit a parametric model to data using JAX. Describe the model and data; receive executable code and an explanation of the fitting approach.MIT
- Retrieve the active Python execution environment for new code cells in Circuitry's visual workflow platform.Inno Setup
- Automates the code validation step, analyzing the codebase to identify implemented security controls and mitigated threats, then generating a markdown report.Apache 2.0
- Return a bounded map of directories and files for one repository, enabling you to understand its structure before choosing files. Specify max depth and entries to control scope.MIT
- Execute Python code and retrieve output. Variables persist across runs for stateful workflows.MIT
- Analyze JavaScript code structure, dependencies, and patterns in Bitcoin Stamps to identify security risks, performance issues, and recursive relationships.MIT
- Analyze Cloudflare D1 database schema structure, tables, columns, indexes, and relationships to understand database design and optionally include sample data for context.MIT
- Generate a grounded implementation plan for a repository task by analyzing code context, dependencies, and structure.MIT
- Locate code by meaning and structure using hybrid semantic-graph search. Returns files, signatures, and dependencies for initial codebase discovery.MIT
- Extract a structural outline from Python files—imports, classes, functions, docstrings—to simplify code review, navigation, and documentation.MIT
- Retrieve the detailed schema for a specific content type, including all fields, types, and relationships, to understand its structure before writing a GraphQL query.MIT
- Returns the complete character relationship network for any open Scrivener project, enabling graph rendering and cast structure analysis.AGPL 3.0
- Retrieve detailed schema information for PostgreSQL tables including column definitions, constraints, indexes, and metadata to analyze database structure and relationships.MIT
- Retrieve raw HTML source code from a page or a specific container for analyzing attributes, nesting, and debugging SSR or markup issues.MIT