Atithi Driver Booking Server
FreeNot checkedEnables AI agents to manage cab bookings, estimate fares, and dispatch drivers with a 2-tier priority algorithm for hotel guests, providing 18 MCP tools for dri
About
Enables AI agents to manage cab bookings, estimate fares, and dispatch drivers with a 2-tier priority algorithm for hotel guests, providing 18 MCP tools for driver management, dispatch, and ride lifecycle.
README
TypeScript Model Context Protocol SQLite Tests
Production-ready Model Context Protocol (MCP) server for the Atithi Platform, providing an AI-powered automated driver dispatch and cab booking system for hotel guests.
Table of Contents
- Overview
- Architecture
- Repository Structure
- Installation & Setup
- Environment Configuration
- Build & Run Instructions
- Verification & Testing
- MCP Tools Summary
- Integration with Claude Desktop
- Documentation & License
Overview
The Atithi Driver Booking MCP Server allows AI Agents (like Claude Desktop or Voice Assistants) to seamlessly manage cab bookings, estimate fares using a $20 \times 20$ distance matrix, and dispatch cab drivers using a 2-tier priority matching algorithm (Hotel Preferred Pool $\rightarrow$ Global Pool).
Key Features
- 18 Automated MCP Tools: Covering driver onboarding, preferred hotel mapping, fare pricing, 2-tier dispatch, call attempt tracking, and ride lifecycle completion.
- 2-Tier Dispatch Algorithm: Prioritizes hotel preferred drivers before searching the global driver pool at the pickup location, ordered by driver performance score (
driver_score DESC). - Driver Score & Penalty Engine: Dynamically awards points (+10 for completion) and applies penalties (-10 for rejection, -20 for driver cancellation) with auto-suspensions (<500 score).
- Embedded SQLite Persistence: Fast, synchronous local database backed by
better-sqlite3.
Architecture
The server communicates via standard I/O (stdio) using JSON-RPC 2.0 protocol specifications defined by Anthropic's Model Context Protocol SDK.
AI Client (Claude Desktop / Voice AI)
│
├─► JSON-RPC over Stdio ──► MCP Server (dist/index.js)
│ │
│ ├─► Pricing Engine (Matrix Lookup)
│ ├─► 2-Tier Dispatch Algorithm
│ └─► SQLite Database (better-sqlite3)
For detailed architectural diagrams and state machines, see docs/ARCHITECTURE.md.
Repository Structure
mcpserver3/
├── .gitignore # Git ignore rules
├── package.json # NPM scripts and dependencies
├── tsconfig.json # TypeScript compiler configuration
├── README.md # Project documentation
├── docs/ # Technical documentation
│ ├── ARCHITECTURE.md # Architectural design & PERSISTENCE
│ ├── TOOLS.md # Complete 18-tool API reference
│ ├── DB_AUDIT_REPORT.md # Database audit report
│ └── IMPLEMENTATION_PLAN.md # Implementation roadmap
├── src/ # TypeScript source code
│ ├── config/ # Configuration files
│ ├── tools/ # MCP Tool implementation handlers
│ │ ├── booking.ts # Booking creation & 2-Tier dispatch
│ │ ├── dispatch.ts # Call attempt logger & response status
│ │ ├── driver.ts # Driver onboarding & verification
│ │ ├── hotel.ts # Preferred driver mapping
│ │ ├── lifecycle.ts # Ride completion & penalties
│ │ ├── pricing.ts # Fare estimation & distance matrix
│ │ └── query.ts # System inspection & status queries
│ ├── db.ts # SQLite connection & auto-migrations
│ ├── idgen.ts # Primary key generators
│ ├── index.ts # Server entry point & stdio transport
│ ├── response.ts # ToolResult JSON envelope builders
│ ├── seed_distances.ts # 400 location pair distance seeder
│ ├── seed_expanded_dataset.ts # 150 Drivers & 150 Vehicles dataset generator
│ ├── setup_test_db.ts # Sandbox DB test seeder
│ ├── test.ts # 120-test integration test suite
│ ├── types.ts # TypeScript interfaces & DTO models
│ └── verify.ts # Verification suite
Installation & Setup
Prerequisites
- Node.js: v18.0.0 or higher
- npm: v9.0.0 or higher
Step-by-Step Setup
Clone the repository:
git clone https://github.com/atithi/driver-booking-mcp.git cd driver-booking-mcpInstall dependencies:
npm installBuild the TypeScript source:
npm run build
Environment Configuration
The server supports the following environment variable and argument overrides:
| Variable / Flag | Description | Default |
|---|---|---|
MCP_TRANSPORT / --transport |
Transport mode (stdio or http) |
stdio |
MCP_PORT / PORT / --port |
HTTP server listening port (in http mode) |
3000 |
MCP_HOST / HOST / --host |
HTTP server bind host (in http mode) |
127.0.0.1 |
ATITHI_DB_PATH |
Absolute path to the SQLite database file | ./atithi_dummy_dataset.db |
Build & Run Instructions
1. STDIO Mode (Claude Desktop & CLI)
- Start MCP server (stdio transport):
npm start - Development mode (compile & start):
npm run dev
2. Streamable HTTP Mode (Atithi Platform Integration)
- Start MCP server (Streamable HTTP transport on http://127.0.0.1:3000/mcp):
npm run start:http - Custom Port/Host via CLI flags:
node dist/index.js --transport=http --port=8080 --host=0.0.0.0
3. Docker Container Deployment
Build Production Docker Image:
docker build -t atithi-driver-booking-mcp:latest .Run Container (Default Streamable HTTP Mode on Port 3000):
docker run -d -p 3000:3000 --name atithi-mcp-server atithi-driver-booking-mcp:latestRun with Custom Host SQLite Database Volume Mounting:
docker run -d -p 3000:3000 \ -v /path/to/host/atithi_dummy_dataset.db:/app/atithi_dummy_dataset.db \ -e ATITHI_DB_PATH=/app/atithi_dummy_dataset.db \ --name atithi-mcp-server atithi-driver-booking-mcp:latestRun with Custom Port and Host Environment Overrides:
docker run -d -p 8080:8080 \ -e MCP_PORT=8080 \ -e MCP_HOST=0.0.0.0 \ --name atithi-mcp-server atithi-driver-booking-mcp:latestTest HTTP MCP Endpoint from Host:
curl -X POST http://127.0.0.1:3000/mcp \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'
Verification & Testing
The repository contains an automated verification suite and an integration test suite covering 120 test cases.
Run Quick System Verification:
npm run verifyRun Full Integration Test Suite (120 Tests):
npm test
MCP Tools Summary
| Category | Tools Included |
|---|---|
| Driver Management | register_driver, verify_driver, update_driver_details, update_driver_availability, update_driver_location |
| Hotel Preferred | add_preferred_driver, remove_preferred_driver |
| Pricing & Booking | estimate_fare, create_booking |
| Dispatch Logic | get_next_driver, update_driver_response, timeout_driver_attempt |
| Ride Lifecycle | complete_booking, cancel_booking |
| Queries & Inspection | get_driver_details, get_booking_status, list_available_drivers, get_hotel_preferred_drivers, get_driver_attempt_log, get_locations |
For full parameter details, refer to docs/TOOLS.md.
Integration with Claude Desktop
To connect this MCP server to Claude Desktop, add the following entry to your %APPDATA%\Claude\claude_desktop_config.json:
{
"mcpServers": {
"atithi-driver-booking": {
"command": "node",
"args": [
"C:/Users/satish u d/Desktop/atithiproject/mcpserver3/dist/index.js"
],
"env": {
"ATITHI_DB_PATH": "C:/Users/satish u d/Desktop/atithiproject/mcpserver3/atithi_dummy_dataset.db"
}
}
}
}
Documentation & License
- Architecture: docs/ARCHITECTURE.md
- Tool Schemas: docs/TOOLS.md
- License: MIT © Atithi Platform
Installing Atithi Driver Booking Server
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/SATISHUD/atithi-driver-booking-mcpFAQ
Is Atithi Driver Booking Server MCP free?
Yes, Atithi Driver Booking Server MCP is free — one-click install via Unyly at no cost.
Does Atithi Driver Booking Server need an API key?
No, Atithi Driver Booking Server runs without API keys or environment variables.
Is Atithi Driver Booking Server hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Atithi Driver Booking Server in Claude Desktop, Claude Code or Cursor?
Open Atithi Driver Booking Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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