"Organic Maps" matching MCP servers:

An MCP server that maps any repository into architecture diagrams, providing tools for scanning code facts, building import graphs, and generating Mermaid/DOT diagrams, plus architecture rule enforcement for CI.

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

Converts Markdown files into professional diagrams such as flowcharts, mind maps, and architecture diagrams using Mermaid.js and custom SVG renderers. It enables users to list, render, and export visualizations in multiple formats including SVG, PNG, and PDF.

A cross-project knowledge graph for MCP that maps features across mobile, backend, and admin codebases, giving AI agents full-stack context.

Provides AI coding agents with durable architecture memory for repositories by generating structured project maps of responsibilities, relationships, and risks.

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 an AI assistant to author algorithm storyboards, workflow maps, and UI styling through MCP, serving a local web app for visualizing and reviewing them.

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.

AI-assisted COBOL to modern stack bridge that parses COBOL programs, maps to Python/Java/Go, generates test harnesses, and plans migration for legacy mainframe modernization.

Analyzes runtime data objects to suggest optimal UI component instructions for a low-code renderer using structural heuristics. It automatically maps data patterns to specific UI elements like tables, carousels, and cards to streamline interface generation.

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.

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.

MCP server that analyzes codebases to provide dependency graphs, impact analysis, and file insights across 15+ programming languages, enabling AI assistants to understand project structure and navigate code efficiently.

Enables MCP-compatible AI agents to read and write architecture-map projects and diagrams with per-project access controls via OAuth 2.1/PKCE.

MCP server for the Product Framework that enables agents to author and verify a What/How graph, with a live web view for visualizing the domain model, event flows, and system maps.

Enables AI agents to create and edit Whimsical diagrams and documents, including flowcharts, mind maps, sequence diagrams, and wireframes, and to search and read workspace content.

Enables users to manage GitCode repositories and automatically generate mind maps from project README files using Coze workflows. It serves as an architectural assistant to help developers quickly understand codebase structures and automate repository management tasks.

Enables agents to create, customize, analyze and export relationship diagrams — theorem dependencies, paper maps, task RACI, org charts, conversation graphs — through 25 MCP tools, with cycle detection, centrality bottleneck reports, dependency closure and Mermaid/DOT/Markdown/JSON interop. Graphs stay local-first in a diff-friendly JSON source of truth and can be refined on a visual canvas.

MCP server that provides code intelligence by indexing configured repositories, extracting deterministic facts, and enabling graph queries, drift checks, and maps via Kuzu-backed MCP tools.