"Python code quality improvement and codebase diagram generation tools" matching MCP servers:

Hybrid code quality analysis server combining fast logic-based checks with AI-powered deep analysis, offering tools for summaries, quick wins, and trend tracking.

MCP server for rendering Mermaid diagrams and generating source-code diagrams, with tools to render text/files and produce dependency/class diagrams.

Provides deterministic Python code quality analysis using flake8, mypy, McCabe, and vulture, enabling LLMs to access real linting and type checking results.

Connects AI coding assistants to PyCharm's code quality inspections and optionally SonarQube for IDE, providing unified, de-duplicated code analysis results without uploading source code.

Validates AI-generated Python: syntax, lint, security scan and deterministic repair.

Enables file reading with pagination and regex-based code search across a codebase using grep.

Enables 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.

Renders diagram-as-code to PNG files on your disk, and also provides text-art previews and syntax validation, all locally without a browser or network.

A Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).

Enables AI agents to screen and filter stock universe, compute custom quality scores, inspect score history, manage scoring systems, and generate shareable screen links, acting as the signed-in user.

An MCP server for securely executing Python code, supporting STDIO, Streamable HTTP, and SSE transports, with easy deployment on Heroku.

MCP server providing code review, auto-fix, test running, linting, formatting, and refactor suggestions for Claude Code.

A Model Context Protocol server for deep codebase understanding of Python projects, focusing on data analysis and scientific computing. It provides architectural analysis, pattern detection, dependency mapping, test coverage analysis, and AI-optimized context generation.

Agent-driven animated diagram renderer that turns API/flow descriptions into animated MP4s or Instagram-style carousels, designed to be driven by an AI agent over MCP.

A flow diagram generator and MCP server that helps LLMs create better visuals using tools like create_diagram, add_node, add_edge, and visualize_diagram. It integrates with Cursor and outputs SVG, HTML, Mermaid, and more.

MCP server for generating diagrams, charts, and visualizations using Gemini image generation on Vertex AI. Supports auto-detection of diagram types, multiple style modes, and iterative refinement.

Generates professional architecture diagrams from natural language descriptions using template-driven prompts and swappable AI image providers.

An MCP server that acts as an AI mentor for any codebase using dual-layer indexing, enabling codebase initialization, tutorial generation, and semantic search.

Renders Mermaid diagrams and Plotly charts to SVG, PNG, or PDF formats via the Model Context Protocol.

Professional AI-powered architecture diagram generator with multi-cloud support and MCP server integration. Generates beautiful, accurate diagrams with provider-specific icons for AWS, Azure, GCP, Kubernetes, and more.