LSPD Interrogation MCP Server

Integrations

Handles environment variable management for sensitive data like the OpenAI API key.
Utilizes GPT-3.5-turbo model to generate dynamic interrogation strategies, simulate suspect responses, and create realistic dialogue flows for police interrogation simulations.
Manages package dependencies for the MCP server installation and execution.

LSPD Interrogation MCP Server

A Model Context Protocol (MCP) based police interrogation simulation server powered by OpenAI.

📌 Key Features

MCP Integration:
- Built using Model Context Protocol SDK
- HTTP transport support
- Dynamic resource management (officer-profile, conduct-interrogation)
OpenAI Integration:
- Uses GPT-3.5-turbo model
- Generates dynamic interrogation strategies
- Simulates suspect responses
- Creates realistic dialogue flows
Core Components:
- Police officer profile management
- Smart interrogation mechanics
- Suspect behavior simulation
- Crime type and evidence integration

🚀 Installation

pnpm install
# Required environment variables
cp .env.example .env
# Start server
pnpm start

⚙️ Configuration

.env file:

OPENAI_API_KEY=your_api_key_here

Configurable parameters in config.ts:

AI model selection
Maximum token count
Temperature parameter (creativity level)

🌐 API Endpoints

Officer Profile

GET /profile/:badgeNumber

curl http://localhost:3000/profile/1234

Start Interrogation

POST /interrogations/{suspectId}

{
  "suspectName": "John Doe",
  "pressureLevel": 75,
  "crime": "Armed robbery",
  "evidence": ["Fingerprint", "Security camera footage"]
}

Suspect Response

POST /interrogations/{suspectId}/respond

{
  "suspectName": "John Doe",
  "officerStatement": "Your fingerprints were found at the crime scene!",
  "guilt": 85,
  "personality": "cowardly",
  "previousResponses": ["I'm innocent!"]
}

🔍 Example Usage

# Get officer profile
curl http://localhost:3000/profile/1234

# Start interrogation
curl -X POST http://localhost:3000/interrogations/suspect_01 \
  -H "Content-Type: application/json" \
  -d '{
    "suspectName": "John Doe",
    "pressureLevel": 80,
    "crime": "Drug trafficking",
    "evidence": ["Search records", "Confidential witness statement"]
  }'

✅ Data Validation

All endpoints include strong type checking and validation using Zod library:

Pressure Level: 0-100 (required)
Suspect Name: string format
Evidence: string array (optional)

🔒 Security

Sensitive data (OpenAI API key) managed through environment variables
HTTPS enforcement in production
Secure input handling with request validation

🤝 Contribution

Fork the repository
Create new branch (feat/my-feature or fix/issue-number)
Commit your changes
Push to the branch
Open a Pull Request

📜 License

Distributed under the MIT License.

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server that simulates police interrogations, enabling users to create officer profiles and conduct dynamic interrogations with simulated suspect responses based on configurable parameters like pressure level, evidence, and crime type.

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