uml-mcp

Create and validate diagrams with the uml-mcp MCP server (generate_uml, validate_uml, list_diagram_types, generate_uml_batch). Use for UML, Mermaid, D2, Graphviz, Kroki URLs, or diagram_type questions.

Creates diagrams via the uml-mcp MCP server (generate_uml, validate_uml, list_diagram_types, generate_uml_batch) and returns shareable Kroki URLs. Use when the user wants diagrams, PlantUML/Mermaid/D2/UML, URLs, Kroki, or diagram_type.

Produces Mermaid or PlantUML diagram code from user specifications for UML, architecture, and flow diagrams. Use when the user asks for diagram code or output for the generate_uml MCP tool. Supports Kroki-renderable output.

Create and extend MCP (Model Context Protocol) servers in Python using FastMCP and the official SDK. Covers tools, resources, prompts, STDIO vs HTTP transports, logging rules for STDIO, and production best practices. Use when building or modifying MCP servers in Python, adding tools/resources/prompts, debugging MCP servers, or choosing transport and client config.

Modern Python tooling and best practices using uv, ruff, ty, and pytest. Covers project setup with pyproject.toml (PEP 735), src layout, linting/formatting with ruff, type checking with ty, testing with pytest and coverage, pre-commit with prek, and security (pip-audit, detect-secrets, actionlint). Use when setting up or working on Python projects, replacing pip/virtualenv with uv, replacing flake8/black/mypy with ruff/ty, adding pre-commit or security scanning, or when the user mentions uv, ruff, ty, pytest, or cookiecutter-python patterns.

Step-by-step and reflective problem-solving for complex or multi-step tasks. Use when tackling complex tasks, planning, design, analysis that may need revision, unclear scope, or when the user asks for step-by-step reasoning. When the sequential-thinking MCP tool is available, use it for hard problems; otherwise apply the same principles in plain reasoning.