iRacing Data MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@iRacing Data MCP Server find the career statistics for driver Max Verstappen"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
iRacing Data MCP Server 🏎️
A Node.js Model Context Protocol (MCP) server that provides seamless access to iRacing's racing simulation data API. This project serves as both a standalone CLI tool and an MCP server for AI assistant integration.
🌟 Features
🤖 MCP Server Integration
AI Assistant Ready: Seamlessly integrate with Claude, ChatGPT, and other AI assistants
Real-time Data Access: Live access to iRacing's comprehensive racing data
Automatic Authentication: Handles login and session management automatically
Type-safe Operations: Full TypeScript support with Zod schema validation
📊 Data Access
Member Profiles: Detailed driver information including licenses and ratings
Team Information: Comprehensive team data and statistics
Career Statistics: Complete racing career history and achievements
Season Recaps: Detailed season performance and progression
Driver Lookup: Search and find drivers by name
API Documentation: Built-in access to iRacing's API documentation
🛠️ Dual Interface
MCP Server: For AI assistant integration
CLI Tool: For direct command-line access and automation
Related MCP server: iRacing MCP
📖 Usage
As MCP Server
Configuration for LLM Clients
To use this MCP server with AI assistants like Claude Desktop, add the following configuration to your MCP settings file:
For Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"iracing-data-mcp-server": {
"command": "npx",
"args": [
"iracing-data-mcp-server@latest",
"@modelcontextprotocol/server-filesystem",
"/path/to/your/cookie-jar-file"
]
"env": {
"COOKIE_JAR": "/path/to/your/cookie-jar-file",
"EMAIL": "your.email@example.com",
"API_KEY": "your_api_key_here"
}
}
}
}Available MCP Tools
The server will run and provide the following tools to AI assistants:
Tool | Description | Parameters |
| Authenticate with iRacing | None |
| Get member profile data |
|
| Retrieve team information |
|
| Get season recap data |
|
| Get career statistics |
|
| Search for drivers |
|
📹 Watch the video

As CLI Tool
Environment Setup
Create a .env file in your project directory:
# Required: Path to store authentication cookies
COOKIE_JAR=./cookies.txt
# Required: Your iRacing account credentials
EMAIL=your.email@example.com
# Option 1: Use your iRacing password
PASSWORD=your_password
# Option 2: Use pre-generated API key (recommended for security)
# API_KEY=your_api_key_hereInitial Authentication
Before using the cli, authenticate with iRacing:
npm run loginUse the command-line interface for direct data access:
Get Member Profile
# Single member
npm run api member 123456
# Multiple members
npm run api member 123456,789012Get Team Information
npm run api team 123456Get Member Career Data
npm run api member-career 123456Get Season Recap
# Current season recap
npm run api member-recap --member-id 123456
# Specific year and season
npm run api member-recap --member-id 123456 --year 2024 --season 1Driver Lookup
npm run api driver-lookup "Max Verstappen"API Documentation
npm run api documentation🔧 Development Setup
Prerequisites
Node.js 24+
npm
iRacing account with active subscription
Clone and Install
git clone https://github.com/yourusername/iracing-data-mcp-server.git
cd iracing-data-mcp-server
npm install🔐 Authentication & Security
API Key vs Password
Recommended: Use an API key for enhanced security:
Generate API Key:
const crypto = require('crypto'); const apiKey = crypto.createHash('sha256') .update(password + email) .digest('base64');Set in Environment:
API_KEY=your_generated_api_key # Remove PASSWORD variable when using API_KEY
Cookie Management
The server automatically manages authentication cookies:
Stores cookies in the path specified by
COOKIE_JARAutomatically refreshes expired sessions
Handles authentication errors gracefully
Available Tools
6 toolsdriver_lookupD
Inputs: driver_name (required).
get_member_careerD
Inputs: member_id (required).
get_member_recapD
Inputs: member_id (required), year, season.
get_members_profileD
Inputs: member_ids (required).
get_teamD
Inputs: team_id (required).
loginD
Inputs: no named parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 6 tools
The tools are mostly distinct in purpose (e.g., driver_lookup vs. get_team vs. login), but there is some overlap between get_member_career, get_member_recap, and get_members_profile, which all seem to retrieve member-related data with unclear boundaries. Without descriptions, it's ambiguous whether these tools serve different aspects of member information or could be consolidated.
The naming follows a consistent snake_case pattern throughout, with a mix of verb_noun (e.g., driver_lookup, get_member_career) and noun-only (e.g., login) styles. While not perfectly uniform in verb usage, the structure is readable and predictable, with only minor deviations from a strict convention.
With 6 tools, the count is reasonable for a data server focused on iRacing, covering key operations like login, member data retrieval, and team info. It's slightly lean but not overly sparse, as it includes essential functions without obvious bloat, though more tools might be expected for a comprehensive racing data service.
The tool set is significantly incomplete for an iRacing data server, lacking obvious gaps such as tools for race results, standings, schedules, or car/track data. It focuses narrowly on member and team profiles without covering broader racing data, which will likely cause agent failures when trying to perform common tasks like fetching race outcomes or event details.
Maintenance
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