"Organic Maps" matching MCP servers:

A Python application that automatically generates different types of mind maps (presentation, comparison, beginner/intermediate content, problem analysis, and review) to help organize ideas visually through Claude Desktop integration.

Provides seamless access to TomTom's location services including search, routing, traffic and static maps data, enabling easy integration of precise geolocation data into AI workflows and development environments.

An MCP server for inspecting and editing StarCraft II maps and mods directly, enabling file-level manipulation of map components, triggers, scripts, and more without the Galaxy Editor UI.

Enables conversion of plain text descriptions and Markdown content into interactive mind maps using AI. Automatically uploads generated mind maps to Aliyun OSS and provides online access links.

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

On-demand micro-mutation sandbox for AI test verification that maps weaknesses in unit tests by running isolated mutation testing via the Model Context Protocol.

Model Context Protocol server for RPG Maker MV project management. Provides 102 tools for actors, classes, skills, items, weapons, armors, enemies, states, troops, common events, maps, events, tilesets, animations, system settings, project management, AI vision analysis, offline ASCII map rendering, and knowledge-driven map generation

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

Provides role-aware repository maps for LLM agents by analyzing codebases and ranking files within a token budget.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, churn, knowledge maps, and risk scoring, all computed from commit history without data leaving your machine.

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.

Enables AI agents to edit Quake-format .map files and see their changes appear live in TrenchBroom, with tools for reading, editing, previewing, compiling, and launching maps.

MCP server that enables AI assistants to inspect and build Fortnite maps by driving a running Unreal Editor for Fortnite instance via Python, exposing tools for spawning actors, browsing content, and executing editor operations.

Enables AI assistants to maintain persistent understanding of code projects across chat sessions via a SQLite brain that caches structural maps, summaries, and decisions. Provides tools for querying project structure, searching code, and recording insights to reduce token usage and avoid re-analysis.

Analyzes codebases from local directories, GitHub, and Azure DevOps, providing intelligent context to AI coding assistants through repository structure, critical files, and semantic maps.

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

Maps function and component dependencies in Haskell and ReScript codebases, providing LLMs with a real dependency graph for accurate test generation and change-impact analysis.

Analyzes GitHub contributions and maps them to the Karpathy Skills framework, providing metrics, alignment scores, and executive summaries.

Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

An MCP server that generates ranked, token-budgeted code structure maps using Tree-sitter AST analysis and PageRank, enabling AI agents to quickly understand unfamiliar codebases.