MCP server that provides a live, terminal-native layered dependency map for AI coding assistants, with tools to track and visualize development progress in real time.
Connects Claude directly to Godot 4 projects to read and manipulate scenes, nodes, scripts, and assets within the editor. It enables real-time scene tree management, script editing, and resource configuration through a local Node.js bridge and GDScript plugin.
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 agents to programmatically generate, edit, and view Excalidraw diagrams with real-time browser synchronization. It provides a suite of tools for adding shapes, text, and arrows to diagrams through natural language interactions.
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.
A comprehensive bridge connecting AI agents to Unreal Engine 5.7 through 39 MCP tools for scene manipulation, asset management, and blueprint control. It enables real-time perception and editor automation using the Remote Control API and file-based protocols.
A Windows-based MCP server that exposes NIST's CONTAM simulation tools and ContamX bridge-mode controls to AI agents. It enables automated airflow and contaminant transport modeling, including project inspection, simulation execution, and real-time bridge session management.
Enables AI assistants to control Cadence Xcelium and SimVision simulators in real time for automated RTL and gate-level debugging. It provides 25 tools for signal inspection, watchpoints, binary search, and simulation state management.
Enables bidirectional control between Claude Code and Figma with real-time sync, allowing creation and manipulation of design elements, component management, and document inspection through natural language commands.
Visual architecture canvas that updates in real-time. Agents can build, read, and modify system design diagrams — services, databases, queues, APIs, entities — all linked to actual code paths in your repo.
Enables AI agents to programmatically control a live Excalidraw canvas through element-level CRUD operations and real-time synchronization. It allows agents to iteratively build, inspect, and refine diagrams while providing visual feedback via screenshots and scene descriptions.
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 AI assistants to create, edit, and export flowcharts through a local web-based editor with visual drag-and-drop, real-time sync, and 14 MCP tools for full node/edge CRUD.