DokaAI MCP Service POC

DokaAI MCP Service POC

Unified MCP server providing business data APIs for Indian users, orders, and business metrics, deployable via Vercel.

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README

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

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.

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