"UML" matching MCP servers:

13 AI-powered UML diagram tools for coding agents. Generates class, sequence, state, ER, threat model, deployment and architecture diagrams in Mermaid syntax. Works in Claude Code, Cursor and Windsurf.

Generates UML and other diagrams (30+ types) via the Model Context Protocol, supporting multiple output formats and deployment options.

Enables AI assistants to generate and validate 30+ UML and other diagram types (Mermaid, D2, Graphviz, BPMN, C4, and more) through the Model Context Protocol, returning rendered SVG, PNG, PDF, JPEG, or base64 output via Kroki, PlantUML, and Mermaid backends.

Enables AI assistants to generate UML diagrams through natural language by rendering PlantUML code into PNG or SVG images. Supports sequence diagrams, class diagrams, use case diagrams, and other UML chart types with Base64-encoded output.

A tool that generates various UML diagrams through natural language descriptions or PlantUML code, functioning as an MCP server that can integrate with clients like Claude.

Enables searching across UMass Lowell domain for people, website content, places, news, and parsing URLs into markdown.

Analyzes C++ source code to automatically generate UML class diagrams in PlantUML format, extracting classes, inheritance relationships, and member visibility from directories or file contents.

Enables users to generate PlantUML code for UML Class and Sequence diagrams using Google Gemini AI. Supports both domain JSON input and free text descriptions to create structured UML diagrams.

Hosted MCP server that lets AI assistants create and edit diagrams (UML, flowcharts, wireframes, domain models) in a Umlout workspace via natural language.

An MCP server that provides access to the NIH UMLS API and the NIH VSAC FHIR API. This server enables AI models to search medical terminology, look up concept definitions, explore relationships between medical concepts, map codes between different medical coding systems, and work with curated clinical value sets.

MCP server for exploring metadata of corporate databases: table structures, relationships, dependencies, and export to UML diagrams.

Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.

Enables AI hosts to generate editable online diagrams (flowcharts, mindmaps, UML, and more) from natural language or Mermaid, using a ProcessOn account via the Model Context Protocol.

Exposes a time series forecasting model as an MCP tool with built-in audit logging for every call, enabling trustworthy autonomous forecasting.

Enables LLM agents to interact with a SQLMesh project, providing model metadata, column-level lineage, plan previews, audits/tests, and environment diffs, with optional apply/run actions.

A local RAG context optimizer MCP server that filters retrieved context to the minimum an LLM needs to answer correctly, using a cross-encoder and optional calibration.

Exposes local Umi-OCR v2 capabilities to AI agents via MCP, enabling image text extraction, batch OCR, PDF OCR, and status checks without manually starting the service.

Enables AI assistants to access a PlayStation Network account's gaming history, including playtime, trophies, and library, to provide personalized game recommendations based on real data.

Generate 25+ types of hand-drawn Excalidraw diagrams - flowcharts, sequence, architecture, mind maps, ER, UML, kanban, bar/line/radar charts - from structured input with Sugiyama auto-layout and CJK support. Reads and modifies .excalidraw files, exports SVG. Python, local, no API keys required.

Enables extracting visible text and links from webpages for content analysis.