"cursor" 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.

AI-native architecture diagramming for MCP clients (Claude Code, Cursor, Windsurf). The calling agent authors the graph (nodes, groups, edges); Flowgraf validates it, lays it out deterministically with ELK, renders an SVG + Mermaid, and returns a link to a live, editable canvas you can refine by chat, drag, or one-click AI design review. Agent-authored ops — no API key and no LLM cost to the calle

MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.

Generates engineer-grade SaaS specifications — design systems, database schemas, and RLS policies for AI build tools like Lovable, Cursor, and Claude Code. 4 tools, TypeScript, MIT licensed.

A research proxy that lets Claude, Cursor, and other MCP clients utilize Gemini's generous free tier for deep codebase analysis without burning your main model's quota!

Model Context Protocol (MCP) server for @imqueue — lets AI coding agents (Claude Code, Cursor and others) search the docs, scaffold typed services & clients and use @imqueue/cli live.

Enables analysis of any GitHub repository to get architecture, file roles, execution flows, system design Q\&A, and structured agent context. Works with MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Generates draw.io diagrams and architecture designs from natural language prompts using DrawX API, integrating with Claude, Cursor, and VS Code.

diagramzu-mcp lets an AI client (Claude, Cursor, ChatGPT, etc.) author Mermaid diagrams in a shared workspace that a team can read, comment on, embed, and present at a clean URL — rather than just generating a one-off diagram. Hosted endpoint https://mcp.diagramzu.ai/mcp or local npx -y @diagramzu/mcp. Also listed in the official MCP registry as ai.diagramzu/mcp.

Enables AI agents to design cloud architectures, run cost/performance simulations, and draw them on a Pinpole canvas directly from Claude Code, Cursor, and OpenAI Codex.

AI-powered codebase health analysis — detects dead code, circular dependencies, coupling issues, and architectural drift. 6 MCP tools for Claude Desktop, Cursor, Windsurf, and Slack.

A deterministic architecture audit engine for Cursor. It enforces visual Mermaid protocols to prevent LLM hallucinations, ensuring AI modifies code based on strict blueprints.

Automatically generates mind map images from text content using Coze API workflow. Returns accessible image links that can be used in MCP-compatible tools like CodeBuddy, Cursor, and Qoder.

An MCP server implementing Spec-Driven Development workflows for AI-agent CLIs and IDEs like Claude Code and Cursor, enabling spec-first development with automated workflow guidance and quality checks.

Enables interaction with IcePanel for architectural diagram management via MCP clients, such as Claude Desktop, Cursor, and Windsurf. Deprecated in favor of a remote MCP server.

An MCP server that equips AI assistants with specialized, opinionated development playbooks for building microservices, frontends, databases, and DevOps pipelines. It integrates with clients like VS Code Copilot, Claude Desktop, and Cursor to provide battle-tested expertise.

Generate and manage diagrams (class, ER, sequence, architecture) directly from code in Cursor IDE using RapidChart's AI-powered diagramming service with support for multiple AI models.

Enables querying event-driven architecture documentation including domains, services, messages, and schemas through MCP clients like Claude and Cursor.

Enables MCP clients like Cursor to manage RelBase diagrams and projects through the RelBase REST API, including listing, retrieving, creating, updating, and deleting diagrams.

GOLEM-3DMCP implements the Model Context Protocol to give AI agents direct, programmatic control of Rhino 8 — create geometry, run booleans, drive Grasshopper, capture viewports, and execute arbitrary Python scripts, all through natural language. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible host.