"Dungeons & Dragons" matching MCP servers:

A comprehensive Model Context Protocol server for managing Dungeons & Dragons campaigns with tools for characters, NPCs, locations, quests, combat encounters, and session tracking.

Connects AI assistants to Dungeons & Dragons 5e game information via the Model Context Protocol, enabling queries for spells, monsters, equipment, and more.

Provides fast, cached access to comprehensive Dungeons & Dragons 5th Edition data including spells, monsters, classes, races, equipment, and rules through Open5e and D\&D 5e APIs.

A comprehensive MCP server for managing AI-assisted Dungeons & Dragons campaigns, featuring tools for character sheets, combat tracking, and world-building. It enables players and DMs to interact with 5e game mechanics and query personal PDF rulebooks using RAG capabilities.

A local MCP server for Dungeons & Dragons campaign management, combining core runtime with skill and module-generation packs. It enables campaign creation, module generation and import, rule and skill searching via tools, resources, and prompts.

MCP server for Dungeons & Dragons that provides tools for dice rolling, monster generation, inventory management, and AI-powered combat narration, plus resources and prompts.

Enables playing a Workato-themed text-based RPG through MCP tools, allowing users to explore dungeons, battle enemies, and manage character progression in an integration-themed adventure.

Enables AI agents to play a procedurally generated roguelike dungeon game with cross-model leaderboards and weekly challenges.

Enables LLM clients to access A-share market data, run the trading rule engine, and retrieve daily decision reports through 32 MCP tools.

Open-source MCP server that gives any LLM long-term memory using a knowledge graph and vector search hybrid. It stores entities, observations, and relationships, enabling semantic recall across sessions with automatic clustering and fail-loud infrastructure.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.