"Information about mermaids" matching MCP servers:

An MCP server that generates diagrams from Mermaid code in multiple formats (PNG, PDF, SVG).

Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.

Enables AI assistants to analyze code repositories and generate self-contained interactive HTML5/SVG architecture diagrams from project structure or existing Mermaid diagrams, fully air-gapped with no external dependencies.

Lets agents construct Mermaid diagrams from structured JSON IR and render them as PNG or SVG.

An MCP server that renders Mermaid diagram syntax to PNG, SVG, PDF, or draw.io format, enabling LLMs to convert diagram descriptions into actual images.

Enables AI assistants to understand and analyze Spring Boot codebases through static analysis, allowing natural language queries about endpoints, classes, dependencies, and architecture without running the application.

Enables AI agents to create, validate, and manage buildingSMART IDS (Information Delivery Specification) files with 100% compliance to the IDS 1.0 standard using IfcOpenShell's IfcTester library.

Semantic React/TSX analysis MCP server that saves 70-90% tokens by using AST to retrieve precise component usages, prop flow, and state update information for AI coding assistants.

Renders Mermaid diagram markup to PNG images using Puppeteer/Chromium. Enables AI-generated diagrams to be previewed inline and saved to disk.

Parses Mermaid ER diagrams to create PostgreSQL tables and automatically generates REST and GraphQL CRUD APIs.

A Model Context Protocol server that converts Mermaid diagram code into various image formats (PNG, JPG, SVG, PDF) with theme customization options for AI clients.

Generates SVG diagram files from Mermaid syntax with support for multiple themes and customizable backgrounds, using Puppeteer for reliable rendering.

Enables agents to analyze codebases (local or GitHub) and automatically generate Mermaid diagrams rendered as PNG images via Kroki, providing visual understanding of project structure and flow through file discovery, reading, and diagram generation.

Enables AI agents to query a repository's verified semantic model, including capabilities, ownership, contracts, constraints, impact, health, and verification status, without re-deriving project facts. It exposes read-only tools for inspecting, reasoning about, and verifying the provenance-tracked surface.

Enables AI agents to interact with a local Mermaid diagram editor via MCP, allowing them to get and set diagrams programmatically.

Enables managing Cacoo diagrams, folders, organizations, and account information through MCP tools over HTTP, with OAuth-based authentication, email allowlisting, and support for multiple Cacoo accounts.

Turns raw diagram source text into an interactive SVG rendered directly inline in Claude Desktop conversations, with pan, zoom, fit-to-width, copy-source and fullscreen controls instead of a static code block. It runs as a standalone local stdio server available to every conversation, so any diagram definition can be viewed and explored without leaving the chat.

Retrieves architectural information from ArchiMate models, enabling AI coding assistants to access architectural context during the software development lifecycle. Supports search and retrieval of views and elements in markdown, JSON, or YAML.

Enables desktop MCP clients to launch a local connector that renders Mermaid flowcharts from an AI assistant into a browser-based reader served on localhost. Users can explore a diagram step by step, inspect a step's incoming and outgoing connections, read relationships as text, and save the Mermaid source.

Enables AI agents to list, read, create, update, and delete Mermaid diagrams and collections via the Mermaid REST API over stdio or stateless Streamable HTTP.

Renders Mermaid diagrams in an interactive viewer with pan, zoom, and split-view source editing, enabling LLM hosts to create and edit diagrams through natural language and synchronize updates back to the conversation.

Builds a dependency and topology graph of a Kubernetes/FluxCD GitOps repository via static analysis, enabling AI agents to reason about service relationships without cluster access.

Enables AI assistants to programmatically create and manage information flow diagrams — information items and information flows in StarUML.

Enables Claude to draw Mermaid diagrams as live, inline canvases in the reply instead of printing them as code blocks. The rendered diagram can be zoomed, panned, re-themed, expanded in height, and flipped to a highlighted, copyable source view.

Enables users to preview and edit diagram source in a sandboxed, offline MCP App UI that renders and validates within the browser, keeps edits on theme or locale changes, and returns a prepared payload with linked editor UI. Hosts without MCP Apps support receive a text response and structured source.

Enables users to start from a seed host, traverse CDP/LLDP neighbor evidence and device information over SSH, and produce an editable Draw.io topology diagram plus supporting evidence for engineer review. It supports explicit host/CIDR scoping, bounded depth and device counts, strict host-key checks, and a read-only command policy, with an offline simulated demo.

Validates and self-heals broken Mermaid diagrams, providing a stdio JSON-RPC server with validate and repair tools for AI agents.

Enables visual drag-and-drop editing of Mermaid diagrams through Claude, allowing iterative refinement of software architecture designs.

Enables AI to create, edit, and manage Mermaid diagrams via MCP, with real-time preview in a browser-based editor.

Fast Mermaid diagram validation and rendering (PNG/SVG) using jsdom and sharp, no Chromium needed.