Ecosystem

CLI · SDKs · MCP

Install the CLI, SDKs and MCP server from npm & PyPI.

Script, embed and automate Kadaikodi from the terminal or your own code — bulk catalogue and order operations, programme-scale onboarding, TypeScript & Python SDKs, and a Model Context Protocol server for AI clients.

AI Agent

Requires Bun ≥ 1.3

Local daemon + `kadaikodi` CLI for ops on your machine.

A lightweight local service that wires Kadaikodi into your laptop or server — surface merchant data, push catalog updates, and drive orders from the terminal. Install it globally and authenticate with the platform CLI to get going.

CLI

The `kadaikodi` CLI — bulk catalogue, order and onboarding work from the terminal.

The Kadaikodi platform CLI talks to the public GraphQL gateway with scoped token auth. Log in once, then drive catalog, orders, merchants, fulfilment, and marketplace workflows across your team from a subcommand suite.

Node SDK

Official TypeScript SDK for programmatic access to the full API.

Typed, promise-based access to storefronts, catalogues, visit requests, orders, staff tasks and the daybook. Drop it into any Node or Bun project to automate Kadaikodi from your own code.

Python SDK

Requires Python ≥ 3.10

Async Python SDK for data pipelines, automation & notebooks.

A fully async SDK with a GraphQL client, automatic token refresh, and retry-with-backoff. Ideal for data pipelines, automation scripts, and notebooks working with catalog, orders, and merchant analytics.

MCP Server

Connect Kadaikodi to any Model Context Protocol client, under your permissions.

A Model Context Protocol server exposing Kadaikodi tools, resources, and prompts to AI assistants. Add the block below to your client config (e.g. `.mcp.json` or your editor’s MCP settings) and your agent can query catalogues, place orders and check status under Kadaikodi permissions.

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