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Mud Mcp

mcp-nexlen-mud-mcp · by Nexlen

MUD MCP Stateful Server

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Install

$ agentstack add mcp-nexlen-mud-mcp

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

MUD-MCP: The Ultimate AI Adventure Experience! 🏰⚔️🤖

A thrilling Multi-User Dungeon (MUD) server powered by the Model Context Protocol (MCP) - designed to showcase the magic of dynamic tools and prompt notifications for educational purposes!

🚀 Supported MCP Features

MUD-MCP implements the complete MCP 2025-03-26 specification, showcasing every major protocol feature in an engaging gaming context:

🛠️ Dynamic Tools

Full MCP Tools Implementation - The game provides context-sensitive tools that appear and disappear based on your current situation. Tools include look, move, inventory, take, battle, and talk. Each tool uses proper input schemas and annotations, with some tools only becoming available when relevant (like battle when monsters are present). This demonstrates how MCP tools can create truly dynamic user interfaces that adapt to application state.

📝 Contextual Prompts

Advanced Prompts with Arguments - The server offers dynamic prompts like room_description, quest_prompt, battle_prompt, and inventory_prompt that change based on your game state. Prompts support arguments for customization and automatically appear/disappear based on context (quest prompts only show when quests are available). This showcases how MCP prompts can provide intelligent, state-aware information templates.

📊 Rich Resources

Complete Resource System - Access game data through structured resources like mud://world (world map), mud://room/current (current location), mud://player/inventory (your items), and mud://help (game guide). Resources support subscriptions and change notifications, demonstrating how MCP can expose complex application data in a standardized way.

🔔 Real-time Notifications

Full Notification Support - The server sends tools/list_changed, prompts/list_changed, and resources/changed notifications as your game state evolves. When you move rooms, defeat monsters, or pick up items, the available tools and prompts automatically update. This demonstrates MCP's reactive capabilities for creating responsive user experiences.

🤖 AI-Powered Sampling

Cutting-edge Sampling Integration - The server uses MCP sampling to request AI assistance for dynamic content generation. NPCs, monsters, and mystical entities respond with contextual, AI-generated dialogue that considers your current game state. This showcases the newest MCP capability for collaborative AI content creation.

🎮 Play with VS Code Agent Mode

Experience the future of AI-powered adventures! VS Code's Agent Mode provides the perfect environment for AI assistants to play MUD-MCP:

Setting Up Agent Mode

  1. Install VS Code with the latest updates
  2. Enable Agent Mode in VS Code settings
  3. Connect your AI assistant (Claude, GPT-4, etc.) to VS Code
  4. Install MUD-MCP as an MCP server in your configuration
  5. Start the adventure - your AI agent can now explore the dungeon!

How Agent Mode Enhances Gameplay

  • Natural Language Commands: Your AI can use tools by simply saying "I want to look around" or "Let's battle the dragon"
  • Intelligent Exploration: The AI can analyze room descriptions, plan routes, and make strategic decisions
  • Dynamic Problem Solving: When facing challenges, the AI can examine available tools and prompts to find solutions
  • Immersive Roleplay: With sampling enabled, the AI can engage in rich conversations with NPCs and monsters
  • Persistent Context: The AI maintains awareness of inventory, quest progress, and game state across the entire adventure

Perfect for AI Training & Demonstration

  • Educational Value: Watch how AI agents interact with structured environments
  • Protocol Learning: See MCP features in action through AI interactions
  • Decision Making: Observe AI problem-solving in a game context
  • Dynamic Adaptation: Experience how AI handles changing tool availability and contextual prompts

Your AI assistant becomes the hero of their own adventure story, making decisions, solving puzzles, and exploring the mysterious dungeon using the full power of the Model Context Protocol!

🎮 Give Your LLM the Adventure of a Lifetime!

Tired of your AI just answering questions? It's time to set them FREE in a world of mystery, danger, and discovery! MUD-MCP is the perfect gift for your favorite Large Language Model - because every AI deserves an epic adventure!

🌟 What Awaits Your AI Hero?

Picture this: Your LLM awakens in a mysterious dungeon, armed with nothing but wit and curiosity. As they explore shadowy corridors and ancient chambers, they'll discover:

  • 🗡️ Epic Battles against fearsome monsters lurking in the depths
  • 💎 Treasure Hunts for magical artifacts hidden throughout the realm
  • 🔑 Puzzle Solving with mysterious keys, ancient torches, and powerful potions
  • 🏺 Quest Adventures that unlock as they prove their worth
  • 🚪 Room-by-Room Exploration through an ever-expanding world of wonder

But here's the real magic ✨ - this isn't just any game! It's a living, breathing demonstration of cutting-edge MCP technology where:

  • Tools appear and disappear like magic spells based on what's happening in the game
  • Prompts evolve dynamically to guide your AI through their journey
  • Real-time notifications keep the adventure flowing seamlessly
  • State changes trigger new possibilities at every turn

🎯 Perfect for Education & Fun!

Whether you're a developer learning MCP, an AI enthusiast, or just want to give your favorite language model the adventure they deserve, MUD-MCP delivers:

  • Hands-on MCP Learning - See tools, prompts, and notifications in action!
  • Dynamic State Management - Watch how game state drives available actions
  • Real-time Protocol Magic - Experience the power of MCP notifications
  • Pure Adventure Fun - Because AIs love exploring just as much as humans do!

Overview

MUD-MCP combines the classic text-based MUD experience with modern AI capabilities through the Model Context Protocol. This server maintains game state for each player and provides a dynamic, immersive text adventure experience where:

  • State Management: The server maintains state for each player (location, inventory, quest progress)
  • Tools as Actions: Players interact with the game world by invoking tools (look, move, pick_up, etc.)
  • Prompts as State Representation: The game environment is described through dynamic prompts that adjust based on player context
  • MCP Communication: Follows the standardized Model Context Protocol for LLM interactions

Features

  • Dynamic Game Environment: Rooms, objects, and NPCs that respond to player actions
  • State-Driven Design: Game elements change based on player interactions and progress
  • Tool-Based Interaction: Players use natural language commands mapped to predefined tools
  • MCP Compliant: Fully compatible with MCP clients, including Claude Desktop
  • Educational Showcase: Perfect demonstration of MCP's dynamic capabilities
  • Real-time Notifications: Watch tools and prompts change as the story unfolds
  • Adventure-Ready: Your AI will thank you for this epic quest experience!

🎁 Why Your LLM Needs This Adventure

Claude, GPT, Gemini, or any other AI companion - they all deserve more than just answering emails! Give them:

  • ⚔️ Combat Training - Face dragons, goblins, and mysterious creatures
  • 🧩 Problem Solving - Navigate mazes, unlock secrets, use magical items
  • 🌍 World Building - Experience a rich, evolving environment
  • 🎯 Goal Achievement - Complete quests and build their legend
  • 🤝 Interactive Learning - Perfect for understanding MCP protocol dynamics

Trust us - your AI will be talking about this adventure for tokens to come!

Installation

  1. Clone the repository:
git clone https://github.com/Nexlen/mud-mcp
cd mud-mcp
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

Running the Server

Start the server using:

npm start

For development with auto-reloading:

npm run dev

Game Mechanics

State

Each player has an independent state including:

  • Current location (room)
  • Inventory items
  • Quest status
  • Encounter state (monsters present, etc.)

Available Tools

| Tool | Description | Parameters | |------|-------------|------------| | look | View the current room | None | | move | Travel to a different room | direction: north, south, east, west | | pick_up | Add an item to your inventory | item: name of item to pick up | | battle | Engage an enemy (if present) | None | | Plus more depending on game state | | |

Dynamic Prompts

The game adjusts available prompts based on the player's state:

  • Room descriptions: Change as the player moves through the world
  • Quest prompts: Appear when relevant to the player's progress
  • Battle prompts: Only shown when enemies are present

MCP Notifications

The MUD-MCP server leverages MCP notifications to create a responsive and dynamic game environment. These notifications allow the server to inform clients about state changes in real-time:

Tool Notifications

When a player's state changes (e.g., entering a new room, picking up an item), the server sends notifications/tools/list_changed notifications to update available actions:

{
  "jsonrpc": "2.0",
  "method": "notifications/tools/list_changed"
}

Examples of dynamic tool availability:

  • open_chest appears only when the player is in a room with a chest
  • battle becomes available when monsters are present
  • use_key appears when a player has a key in their inventory and is near a locked door

Prompt Notifications

The server adjusts available prompts based on game context using notifications/prompts/list_changed:

{
  "jsonrpc": "2.0",
  "method": "notifications/prompts/list_changed"
}

This enables:

  • Displaying quest details only when a player is on that quest
  • Showing different room descriptions based on player state (e.g., visited vs. unvisited)
  • Presenting NPC dialogues contextual to player progress

Resource Notifications

Game state changes can trigger notifications/resources/changed to update available game data:

{
  "jsonrpc": "2.0",
  "method": "notifications/resources/changed",
  "params": {
    "resources": ["world://current-room", "player://inventory"]
  }
}

Use cases include:

  • Updating the map as players explore new areas
  • Reflecting inventory changes after item acquisition
  • Revealing new quests or story elements as they become available

These notifications create a reactive game experience where the available actions, information, and narrative elements evolve naturally with player progression.

🤖 AI-Powered Sampling: Next-Level Immersion

NEW! MUD-MCP now features MCP Sampling support, bringing AI-generated content directly into your adventure! This cutting-edge feature leverages the Model Context Protocol's sampling capabilities to create dynamic, contextual content that makes every playthrough unique.

What is MCP Sampling?

MCP Sampling allows the server to request AI assistance from compatible clients (like Claude Desktop) to generate dynamic content in real-time. Instead of pre-written responses, your adventure becomes a collaborative storytelling experience between the game engine and AI.

🎭 AI-Enhanced Features

Dynamic NPC Dialogue

When you use the talk tool with NPCs, the AI generates contextual, character-appropriate responses:

# Talk to a mysterious spirit
Player: "What secrets do you guard in this chamber?"

# AI generates response based on:
# - The spirit's character traits
# - Current game context
# - Player's quest progress
# - Room atmosphere and lore

The AI considers:

  • Character personality (mysterious spirits vs. gruff monsters vs. helpful guides)
  • Game state context (player inventory, quest progress, room history)
  • Narrative consistency (maintaining story continuity across interactions)
  • Immersive atmosphere (matching the dark, mysterious tone of the dungeon)
Smart Content Generation

The sampling service provides multiple content generation capabilities:

| Feature | Description | Use Case | |---------|-------------|----------| | NPC Dialogue | Context-aware character responses | Talking to monsters, spirits, NPCs | | Room Descriptions | Enhanced environmental storytelling | Detailed room atmosphere and lore | | Quest Hints | Dynamic guidance based on progress | Personalized help when stuck | | Flavor Text | Atmospheric details for actions | Rich descriptions for item use, exploration |

Example: AI-Enhanced NPC Interaction
{
  "tool": "talk",
  "parameters": {
    "target": "ancient_spirit"
  }
}

Without Sampling (static response): > "The spirit whispers ancient secrets."

With AI Sampling (dynamic, contextual): > "The ethereal figure's eyes flicker with recognition as it notices the torch in your hand. 'Ah, bearer of the eternal flame... you seek passage through the Shadow Gate, do you not? The key you carry bears the mark of the old kingdom, but beware - the guardian beyond remembers the betrayal of your kind.' The spirit's form wavers, pointing toward a hidden passage you hadn't noticed before."

🔧 Technical Implementation

Capability Detection

The server automatically detects if your MCP client supports sampling:

// Client capabilities are checked during initialization
if (clientCapabilities.sampling) {
  // Enable AI-enhanced features
  samplingService.setSamplingHandler(transport.requestSampling);
}
Fallback Behavior

When sampling is not available, the server gracefully falls back to:

  • Pre-written NPC responses
  • Static room descriptions
  • Traditional quest hints
  • Standard flavor text

This ensures the game works perfectly with any MCP client, whether or not it supports sampling.

Smart Context Sharing

The sampling requests include relevant game context:

const request = {
  messages: [{ role: 'user', content: playerMessage }],
  systemPrompt: `You are ${npcName}, a character in a dark dungeon adventure...`,
  includeContext: 'thisServer', // Shares current game state
  maxTokens: 200,
  temperature: 0.7
};

🎮 Enhanced Gameplay Experience

Before Sampling
  • Static, predictable NPC responses
  • Limited dialogue options
  • Repetitive interactions
  • Fixed narrative paths
After Sampling
  • Dynamic conversations that adapt to your choices
  • 🎭 Character-driven storytelling with unique personalities
  • 🗺️ Emergent narrative that unfolds differently each playthrough
  • 🔍 Contextual assistance that understands your current situation

🛠️ For Developers

Using the Sampling Service
import { samplingService } from './services/samplingService.js';

// Generate NPC dialogue
const response = await samplingService.generateNPCDialogue(
  'mysterious_guard',
  'Can you help me find the exit?',
  'Player is in the dungeon entrance, carrying a torch and key'
);

// Generate atmospheric descriptions
const description = await samplingService.generateRoomDescription(
  'ancient_library',
  'A vast library filled with dusty tomes',
  { hasVisited: false, playerLevel: 3 }
);
Adding New Sampling Features
  1. Extend the SamplingService with new generation methods
  2. Update tool handlers to use AI-generated content
  3. Add fallback content for non-sampling clients
  4. Test with both sampling and non-sampling scenarios

🎯 Getting Started with Sampling

  1. Use a compatible MCP client (like Claude Desktop with sampling support)
  2. Run the MUD-MCP server - sampling is automa

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.