DokaAI MCP Service POC

Unified TypeScript service with:

• local stdio MCP server for Codex / Claude Desktop

• Vercel-ready HTTP MCP endpoint

• REST APIs backed by the same in-memory business data

Setup

npm install
npm run build

Related MCP server: air-mcp-server

Local MCP

Run the stdio MCP server:

npm start

Codex / Claude Desktop can still use:

{
  "command": "node",
  "args": ["/Users/ayushsrivastava0609/Doka-AI/mcp-server-poc/dist/index.js"]
}

Vercel Deployment

Deploy this folder as the Vercel project root:

/Users/ayushsrivastava0609/Doka-AI/mcp-server-poc

Hosted endpoints:

• GET /health

• GET /api/users

• GET /api/orders

• GET /api/users/:userId/orders

• GET /api/users/:userId/business-profile

• GET /api/business/summary

• POST /mcp

• GET /mcp

• DELETE /mcp

MCP Tools

• get_indian_users: Fetch all Indian test users from the backend API.

• get_orders: Fetch all business orders.

• get_user_orders: Fetch orders for one user, such as usr_001.

• get_user_business_profile: Fetch one user with subscription, orders, invoices, payments, refunds, and metrics.

• get_business_summary: Fetch aggregate business metrics.

The AI client can handle filtering, lookup, grouping, summaries, and cross-dataset reasoning from the returned data.