Pimp My Ride MCP Server
Enables car customization and racing through natural language by building dream rides with colors, wheels, body kits, spoilers, and driver personas. Supports saving multiple builds with performance scoring and secure authentication.
README
🏎️ Pimp My Ride MCP Server
A Model Context Protocol (MCP) server for car customization and racing. Build and customize your dream ride with natural language through ChatGPT or Claude!
<div align="center"> <img src="https://commons.wikimedia.org/wiki/Special:FilePath/Gumball_3000_-2007(483318373).jpg" alt="Xzibit at Gumball 3000 - 2007" width="400"> <p><em>Photo: <a href="https://creativecommons.org/licenses/by-sa/2.0/">CC BY-SA 2.0</a>, via Wikimedia Commons</em></p> </div>
Note: This project is an homage to the MTV show Pimp My Ride hosted by Xzibit. Not affiliated with or endorsed by MTV.
Features
- 🎨 Car Customization - Colors, wheels, body kits, spoilers, exhausts, decals, and underglow
- 🏎️ Driver Profiles - Choose your racing persona (RoadRage, SpeedDemon, CoolCalmCollected, etc.)
- 💾 Build Management - Save, load, and manage multiple car builds
- 📊 Performance Scoring - Get calculated performance scores for your builds
- 🔒 Pomerium Authentication - Secure identity-aware access with Pomerium proxy
- 🗄️ Pluggable Storage - SQLite by default, extensible to Redis, PostgreSQL, DynamoDB
Security
⚠️ This MCP server has no built-in authentication or authorization. It reads identity from HTTP headers and trusts them implicitly.
For production deployments, secure this server behind Pomerium, an AI gateway that provides:
- 🔐 Centralized Authentication - OAuth/OIDC integration with your identity provider
- 🛡️ Fine-grained Authorization - Policy-based access control at the tool and method level
- 🔑 Automatic Token Management - Handles OAuth token refresh transparently
- 📊 Observability - Detailed logs of AI agent interactions, tool calls, and parameters
- 🌐 Secure Gateway - Expose internal MCP servers safely to AI agents
Pomerium enables you to define policies like:
- Which users can access which tools
- Rate limiting per user or group
- Audit logging of all tool calls
- Dynamic access control based on user attributes
Architecture with Pomerium
sequenceDiagram
participant User as AI Agent/User
participant Pomerium as Pomerium Gateway
participant MCP as Pimp My Ride MCP Server
participant Storage as SQLite Storage
User->>Pomerium: MCP Request
Pomerium->>Pomerium: Authenticate User (OAuth/OIDC)
Pomerium->>Pomerium: Authorize Tool Access (Policy Check)
Pomerium->>MCP: Forward Request + Identity Headers
Note over Pomerium,MCP: X-Pomerium-Claim-Sub<br/>X-Pomerium-Claim-Email<br/>X-Pomerium-Claim-Name
MCP->>MCP: Extract User Identity
MCP->>Storage: Read/Write Build Data
Storage-->>MCP: Data Response
MCP-->>Pomerium: MCP Response
Pomerium-->>User: MCP Response
Learn more: Pomerium MCP Documentation
Quick Start
Installation
npm install
Configuration
Create a .env file (see .env.example):
# Server Configuration
HOST=0.0.0.0
PORT=3000
NODE_ENV=development
LOG_LEVEL=info
# Storage Configuration
STORAGE_BACKEND=sqlite
SQLITE_DB_PATH=./data/pimp-my-ride.db
Development
npm run dev
Production
npm run build
npm start
Available Tools
Car Customization
getCurrentBuild
Retrieve or create your active car build with all customizations.
updateCarConfig
Update car attributes:
- color - Primary color (red, blue, green, yellow, orange, purple, pink, black, white, silver, gold, cyan, magenta, lime)
- secondaryColor - Secondary/accent color
- wheels - Wheel type (stock, sport, racing, offroad, chrome, neon, spinner)
- bodyKit - Body kit style (stock, sport, racing, drift, luxury, rally, muscle)
- decal - Decal/livery (none, racing_stripes, flames, tribal, camo, carbon_fiber, checkered, sponsor, custom)
- spoiler - Spoiler type (none, stock, sport, racing, gt_wing, ducktail)
- exhaust - Exhaust system (stock, sport, racing, dual, quad, side_exit)
- underglow - Underglow lighting (none, red, blue, green, purple, rainbow, white)
- performance - Performance stats (power, grip, aero, weight: 0-100)
updateDriverProfile
Set driver persona and nickname:
- persona - Driver personality: CoolCalmCollected, RoadRage, SpeedDemon, Cautious, ShowOff, Tactical, Wildcard
- nickname - Driver nickname (1-50 characters)
getCustomizationOptions
Get all available customization options for car parts and driver personas.
getPersonaInfo
Get detailed information about driver personas including racing style, strengths, and weaknesses.
Build Management
saveBuild
Save the current car build under a specific name.
loadBuild
Load a saved car build and make it active.
listBuilds
List all saved car builds with pagination support.
deleteBuild
Delete a saved car build (cannot delete active build).
getBuildDetails
Get detailed information about a build including calculated performance score.
Architecture
Storage Layer
The KV storage abstraction provides:
- Namespaces - Logical data isolation
- TTL Expiration - Automatic cleanup of expired entries
- CAS Versioning - Compare-and-Set for concurrent updates
- Pagination - Cursor-based pagination for large datasets
Default implementation uses SQLite with WAL mode for better concurrency.
Authentication
Pomerium authentication resolves user identity from HTTP headers:
X-Pomerium-Claim-Sub- User IDX-Pomerium-Claim-Email- Email addressX-Pomerium-Claim-Name- Display nameX-Pomerium-JWT-Assertion- JWT token (fallback)
In development mode without Pomerium, the server generates anonymous session-based user IDs.
Data Model
Build Structure:
{
id: string,
name?: string,
car: {
color, secondaryColor, wheels, bodyKit,
decal, spoiler, exhaust, underglow,
performance: { power, grip, aero, weight }
},
driver: {
persona, nickname?
},
createdAt: number,
updatedAt: number
}
API Endpoints
MCP Protocol
POST /mcp- MCP tool callsGET /mcp- Server info
Health Check
GET /health- Storage health status
Environment Variables
| Variable | Description | Default |
|---|---|---|
HOST |
Server host/interface to bind | 0.0.0.0 |
PORT |
Server port | 3000 |
NODE_ENV |
Environment (development/production/test) | development |
LOG_LEVEL |
Logging level (error/warn/info/debug) | info |
STORAGE_BACKEND |
Storage type (sqlite/redis/postgres/dynamodb) | sqlite |
SQLITE_DB_PATH |
SQLite database file path | ./data/pimp-my-ride.db |
SQLITE_VERBOSE |
Enable SQL query logging | false |
Development
Scripts
npm run dev # Development with watch mode
npm run build # Build for production
npm start # Start production server
npm run lint # Check code quality
npm run lint:fix # Fix linting issues
npm run format # Format code with Prettier
npm test # Run tests
Project Structure
src/
├── index.ts # Main server entry point
├── config.ts # Environment configuration
├── logger.ts # Structured logging
├── auth/
│ └── pomerium.ts # Pomerium authentication
├── domain/
│ └── models.ts # Car and driver models
├── storage/
│ ├── kv.ts # KV storage interface
│ ├── sqlite.ts # SQLite implementation
│ ├── factory.ts # Storage factory
│ └── index.ts # Exports
├── tools/
│ └── builds.ts # Build management tools
└── lib/
├── utils.ts # MCP response helpers
└── errors.ts # Error formatting
Deployment
Docker
Available on Docker Hub: nickytonline/pimp-my-ride-mcp
# Pull from Docker Hub
docker pull nickytonline/pimp-my-ride-mcp
# Or build locally
docker build -t pimp-my-ride-mcp .
# Run
docker run -p 3000:3000 -v ./data:/app/data pimp-my-ride-mcp
With Pomerium (Recommended for Production)
Deploy behind Pomerium for secure, policy-based access control:
# pomerium-config.yaml
routes:
- from: https://pimp-my-ride.example.com
to: http://localhost:3000
policy:
- allow:
and:
- email:
is: user@example.com
# Optional: Fine-grained tool access control
mcp_allow_tools:
- getCurrentBuild
- updateCarConfig
- updateDriverProfile
See Pomerium MCP docs for advanced configuration including:
- Tool-level authorization
- User/group-based access control
- Rate limiting
- OAuth upstream integration
Roadmap
Phase 2 - AI Assistance
- [ ]
randomizeBuild- Generate random themed builds - [ ]
suggestUpgrades- AI-powered upgrade recommendations - [ ]
generateLivery- Color scheme suggestions
Phase 3 - Racing
- [ ]
simulateRace- Race simulation - [ ]
getLeaderboard- Global rankings - [ ] Race results persistence
License
MIT
Documentation
- Product Requirements Document (PRD) - Detailed architecture, data models, and implementation phases
- Repository Guidelines (AGENTS.md) - Development conventions, testing, and contribution guidelines
About Pomeranian Kart
Pomeranian Kart is a racing game that uses this MCP server for car customization. Players interact with the game through natural language, building and customizing their dream cars before racing.
References
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.