Murder Mystery MCP Server
A procedurally-generated murder mystery game engine that enables AI agents to generate mysteries, interrogate AI suspects with memory and emotions, search for clues, and solve crimes through MCP tools. Features RAG-powered investigation tools for searching conversations, detecting contradictions, and cross-referencing testimony.
README
title: Murder Mystery MCP Server emoji: 🕵️ colorFrom: indigo colorTo: red sdk: gradio sdk_version: "5.29.1" app_file: demo.py pinned: false tags:
- building-mcp-track-creative
- mcp
- mcp-server
- game-engine
- murder-mystery
- agents
- tools
- resources
🕵️ Murder Mystery MCP Server
🎉 MCP 1st Birthday Hackathon — Track 1: Building MCP (
building-mcp-track-creative)
A complete murder mystery game engine exposed as a Model Context Protocol (MCP) server. Generate procedural mysteries, interrogate AI suspects, search for clues, and solve crimes — all through MCP tools that any AI agent can use.
📺 Demo Video
👉 Watch the Demo Video (Required for submission)
🐦 Social Media
🐦 See the announcement on X/Twitter (Required for submission)
👥 Team
| HuggingFace Username |
|---|
| @YOUR_HF_USERNAME |
🚀 Quick Start
Use with Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"murder-mystery": {
"command": "python",
"args": ["-m", "murder_mystery_mcp"],
"cwd": "/path/to/murder-mystery-mcp",
"env": {
"OPENAI_API_KEY": "your-key",
"HF_TOKEN": "your-hf-token",
"ELEVENLABS_API_KEY": "your-elevenlabs-key"
}
}
}
}
Then just chat with Claude:
- "Start a new murder mystery game"
- "Talk to the butler about his alibi"
- "Search the library for clues"
- "I accuse Lady Ashworth of the murder!"
Use with Cursor
Add the same config to Cursor's MCP settings and use the tools in your AI chat.
🛠️ MCP Tools
Game Flow Tools
| Tool | Description |
|---|---|
start_game |
Start a new procedurally-generated murder mystery |
get_game_state |
Get current game state (suspects, clues, progress) |
interrogate_suspect |
Question a suspect (they have memory + emotions!) |
search_location |
Search a location for clues |
make_accusation |
Formally accuse someone of the murder |
Investigation Tools (RAG-Powered)
| Tool | Description |
|---|---|
search_memory |
Search all past conversations for relevant statements |
find_contradictions |
Check if a suspect's story contradicts past statements |
get_cross_references |
Find what OTHER suspects said about someone |
get_investigation_hint |
Get a hint if you're stuck |
get_timeline |
See the investigation timeline |
Image Generation Tools
| Tool | Description |
|---|---|
generate_portrait |
Generate a suspect's portrait |
generate_scene |
Generate a location/scene image |
generate_title_card |
Generate the mystery's opening scene |
📚 MCP Resources
| URI | Description |
|---|---|
mystery://state |
Current game state (JSON) |
mystery://suspects |
List of suspects with public info |
mystery://clues |
Discovered clues |
mystery://timeline |
Investigation timeline |
mystery://locations |
Available and searched locations |
🎮 How It Works
1. Mystery Generation
When you start a game, the server generates:
- A unique victim with background story
- 4-5 suspects with personalities, secrets, and alibis
- One guilty suspect (the AI won't tell you who!)
- Clues scattered across locations
- An "encounter graph" showing who was really where
2. The Oracle Pattern
The MCP server uses a secure "Oracle" architecture:
- The Mystery Oracle knows the truth (who's guilty, all secrets)
- The tools only return what the player should see
- Even the AI using the tools can't "cheat" — it discovers the truth through gameplay
3. Suspect Emotions
Suspects aren't static — they have:
- Trust (0-100%): How much they trust the detective
- Nervousness (0-100%): How anxious they are
- Memory: They remember past conversations and stay consistent
- Reveals: High trust → reveal locations; high pressure → reveal secrets
4. RAG Memory
All conversations are indexed in a vector store:
- Search for what was said about any topic
- Detect contradictions in testimony
- Cross-reference what suspects said about each other
🏗️ Architecture
┌──────────────────────────────────────────────────────────────────┐
│ MURDER MYSTERY MCP SERVER │
├──────────────────────────────────────────────────────────────────┤
│ │
│ TOOLS (what agents can call): │
│ ├─ start_game - Generate new mystery │
│ ├─ interrogate_suspect - Talk to suspects │
│ ├─ search_location - Find clues │
│ ├─ make_accusation - Accuse the murderer │
│ ├─ search_memory - RAG search past statements │
│ ├─ find_contradictions - Detect lies │
│ ├─ get_cross_references- What others said about someone │
│ ├─ generate_portrait - Create character art │
│ └─ generate_scene - Create location art │
│ │
│ RESOURCES (what agents can read): │
│ ├─ mystery://state - Full game state │
│ ├─ mystery://suspects - Suspect list │
│ ├─ mystery://clues - Discovered clues │
│ └─ mystery://timeline - Investigation timeline │
│ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ MYSTERY ORACLE (truth) │ │
│ │ • Knows who the murderer is │ │
│ │ • Knows all suspects' secrets │ │
│ │ • Validates accusations │ │
│ │ • Generates consistent suspect responses │ │
│ │ • NEVER exposes truth to the agent directly │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ RAG MEMORY (partitioned) │ │
│ │ • Per-suspect conversation history │ │
│ │ • Semantic search across all statements │ │
│ │ • Contradiction detection │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
└──────────────────────────────────────────────────────────────────┘
⚙️ Configuration
| Environment Variable | Required | Description |
|---|---|---|
OPENAI_API_KEY |
Yes | For mystery generation and LLM responses |
HF_TOKEN |
No | For image generation (optional) |
ELEVENLABS_API_KEY |
No | For voice synthesis (optional, used by UI) |
🎯 Game Rules
- 3 wrong accusations = Game Over (you're fired from the case)
- Win: Correctly identify the murderer with evidence
- Suspects won't reveal secrets easily — build trust or apply pressure!
- Clues are hidden in locations — search everywhere
- Cross-reference testimony to find contradictions
🔗 Related Projects
- Murder Mystery Detective Game — Full Gradio UI using this MCP server (Track 2 submission)
📜 License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。