"Information about 3D Game Studio (3DGS) software or related topics" matching MCP servers:

A universal Model Context Protocol implementation that serves as a semantic layer between LLMs and 3D creative software, providing a standardized interface for interacting with various Digital Content Creation tools through a unified API.

Enables LLM agents to orchestrate a film production pipeline from brief to final cut, including shot planning, rendering, quality control, and assembly, using block-method planning and style-drift QC.

It enables Microsoft Copilot Studio agents to connect to and use MCP-based tools, such as fetching jokes, through an Azure-deployed server and Power Platform connector.

Enables creation and management of structured game worlds for text adventures and RPGs with character creation, world generation, and natural language interaction through AI integration.

Acts as a broker that lets an MCP client drive multiple Desktop Commander workers, with automatic connection recovery and protection against file writes colliding across sessions. It also provides a Windows setup/dashboard for installing dependencies, registering workspaces, starting the OpenAI tunnel, and monitoring workers, sessions, queues, and recent events.

Enables automated game development by orchestrating multi-agent teams (design, programming, 2D/3D art, supervision, QA) through LangGraph and an MCP gateway that drives Blender, Krita, Godot, and Git to produce runnable game builds.

Exposes ChatATP Studio's backend API as MCP tools over Streamable HTTP, enabling clients to manage agents, knowledge bases, MCP connections, HTTP APIs, LLM providers, messaging platforms, and teams with forwarded authorization.

Enables users to generate complete, production-ready software projects from simple ideas by coordinating 8 specialized AI agents through the Model Context Protocol.

A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.

A server implementing the Model Context Protocol (MCP) that delivers jokes upon request, demonstrating how to connect AI models to data sources and tools within Microsoft Copilot Studio.

Enables human-coordinated multi-agent workflows for Earth-observation research, Cube Chess 512 self-play benchmarking, and reversible visual QA through WebMCP tools with verification and approval gates.

Turns Claude Code into an AI Agent Studio with a guided menu and 11 tools to design, create, and manage multi-agent projects without coding.

An MCP server that fetches jokes from multiple sources (Chuck Norris, Dad jokes, and Yo Mama jokes) and integrates with Microsoft Copilot Studio to create a humor-focused conversational experience.

Turns any OpenAPI/Swagger spec (JSON, YAML, or URL) into a production-ready, type-safe FastMCP Python server with visual endpoint selection and 1-click Claude Desktop or Cursor IDE integration.

A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.

MCP server providing browser automation for AI agents, enabling actions like clicking and typing, structured data extraction, content validation, multi-step task execution, and memory enrichment from web pages.

Declarative MCP runtime over IDF artifacts. Tool descriptions carry invariants, lifecycle, irreversibility, and role scopes.

Enables AI agents to execute provider tools through a self-hostable gateway with scoped keys, permissions, and accounting reservations.

A git-backed MCP server that centrally manages AI agent skills, tools, and knowledge with role-based access, change requests, and a remote OAuth 2.1 endpoint.

Enables AI agents to respond to users with live, persistent, interactive web apps served at a single URL that evolve in place as the conversation continues. It exposes UI generation and evolution tools over MCP so agent responses can include clickable buttons and streaming interfaces alongside chat replies.