"Character Name and Profile Generator" matching MCP servers:

Architecture diagram with concurrency capacity and bottleneck estimates from any codebase.

Enables generating BPMN 2.0 process models from natural language descriptions, YAML, or images via OCR, with templates, validation, and compatibility with tools like Bizagi Modeler and Camunda Modeler.

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.

An MCP server that enables users to generate structured XMind mind maps with hierarchical topics, notes, and labels through natural language. It features automatic file saving to the local Documents folder and can automatically open generated maps in the XMind application.

Turns Claude Code session work into professional design docs with a slash command, no copy-pasting or signup needed.

MCP server for automatic technical documentation generation of Satrack projects.

Automatically generates compelling application specifications and code based on the four dimensions (existence, historicity, relationality, irrationality), simplicity, and Figma-like UI, enabling users to create great apps without detailed instructions.

Enables users to create, validate, view, and export system stock-and-flow maps from a versioned JSON model through MCP-capable hosts over local stdio or hosted Streamable HTTP. Supports causal-loop and nested-level mapping while keeping submitted model content with the caller and requiring no LLM provider key.

Generates technical documentation and diagrams (C4, UML, flowcharts, Gantt, etc.) using MCP protocol, with Docker-based tooling and optional AI image generation via DALL-E 3.

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.

Generates formal string diagram visualizations of Lushy brick compositions, enabling zero-cost diagram generation and recursive self-documentation based on category theory.

Deterministic "Rack-as-Code" 3D/2D CAD planner, 5-stage physical/PoE/acoustic validator, and parametric OpenSCAD/STL 3D-print generator for 10-inch mini-racks and 19-inch homelabs.

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

An MCP server that recommends tech stacks for your project. Describe what you're building and get a recommended stack with reasoning, tradeoffs, and what each layer should use.

Enables encoding Mermaid diagram source into reversible share tokens and links for an explicit destination, and decoding tokens, fragments, or share URLs back to their original source and optional config data. Runs as a local stdio tool that only serializes text, without rendering diagrams, validating syntax, or fetching URLs.

MCP server that creates, edits and exports architecture diagrams as .fluyo.json files, operating through tools like create_diagram, edit_diagram, and export_diagram directly from Claude.

Exposes ASCIIFlow drawing primitives as tools to enable AI assistants to generate ASCII wireframes and diagrams from natural language descriptions. It provides commands for creating canvases and drawing boxes, lines, arrows, and text using a character-grid coordinate system.

Enables AI assistants and other tools to create, edit, import, and export BPMN 2.0 workflow diagrams, including through a local browser-based live modeler with explicit save back to the session.

Provides programmatic access to Arcas OnlineEDA platform for electronic design automation, enabling formal verification, equivalence checking, power analysis, security verification, and FPGA design through natural language and automated workflows.

MCP server for BESSER low-code platform enabling AI assistants to create, manipulate, and generate code from domain models through natural language. Supports model creation, deletion, and multi-language code generation (SQL, Python, Java, etc.) via the Model Context Protocol.

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.

Enables building, evolving, and managing microservices through natural language, with storage-agnostic REST APIs and support for relational, document, cloud, and embedded databases.

Enables AI agents to query architecture context, data contracts, and blast radius to prevent cross-repo architectural breakage before merging.

Integrates Archaic's AI-powered architecture analysis with Claude Code, enabling interactive exploration of component connections, data flows, and system structure through natural language.

Provides AI agents with a live architecture model of a codebase, enabling queries for root cause analysis, blast radius, and dependency traversal through MCP tools.

Enables AI assistants to generate interactive Excalidraw diagrams with viewport camera control and fullscreen editing directly in the chat.

Enables users to translate geometric bounding boxes, flowchart node connections, and architectural sketches into clean Mermaid graphs, JSON topology matrices, and boilerplate code scaffolds through MCP.

Enables AI agents to record ADRs and design specs, run an AI critique to open issues, disposition those issues with a human sign-off, and stamp approved documents with a content hash. It acts as a PreToolUse gate that blocks Write/Edit/MultiEdit calls on protected source paths until the governing spec is approved, optionally publishing approved docs to a Nexus sink.

An MCP server for code intelligence that maps source code into a knowledge graph, enabling AI tools to understand architecture and structure rather than just individual files.

Enables AI assistants to generate UML diagrams from text descriptions using PlantUML, supporting multiple output formats (PNG, SVG, PDF), syntax validation, and diagram source extraction.

Enables planning AWS architectures, reviewing plans, and provisioning resources after administrative approval with durable execution tracking.

Exposes eight mmap_* tools that let an agent declare a system's ghost dependency design first, then light each node up as it is built and verified, with downward-only edges and evidence-backed green status. Clients get a live ledger of what exists, what is in progress right now, and which foundation has cracked.

A local-first MCP server for macOS that enables AI assistants to read and manage Apple Calendar events via EventKit, with configurable permissions, audit logging, and a native setup app.

Enables users to create and interact with hand-drawn Excalidraw diagrams featuring smooth viewport camera control and interactive fullscreen editing. It uses the MCP Apps extension to render collaborative virtual whiteboards directly within supported AI chat interfaces.

Scans AWS environments and generates professional architecture diagrams showing VPC networking, compute, storage, and security resources.

An MCP server that enables AI assistants to programmatically create and manage use case diagrams (actors, use cases, subjects, relationships) in StarUML via a REST API.

Provides tools for creating, deleting, and querying nodes and edges in Excalidraw diagrams, enabling diagram editing via LLM interfaces.

Enables local control of Vitech GENESYS from Codex, Claude Code, or Claude Desktop, including exploring models, cloning template projects, creating entities, relations and diagrams, and exporting views as PNG.

Enables AI assistants to inspect Ignition gateway backups, project exports and tag exports locally and turn them into an editable engineering reference and manual pack workspace. Runs over stdio so agents can explain, validate and complete the evidence-traced documents without uploading anything.

Serves a static-analysis knowledge graph of a PHP codebase over MCP, letting AI coding agents ask who calls what, which handler receives a message, which controller serves a route, what breaks when a method changes, and how layers depend on each other. Every relation carries a confidence level and unresolved gaps are reported, so agents can read only the code that matters while nothing leaves the machine or executes.