When to build your first MCP server with your own developer, when to hire a partner, and the third path that costs an afternoon. Plus the five questions to ask any partner and a seven-day plan to start this week.
What a first MCP server really costs: the five things that drive the effort, a three-phase build plan with my estimated ranges, the two people you need, and the three numbers to measure before anyone writes code.
An AI assistant with live access can go wrong in three places: it reads a secret it should not, it acts without approval, or it fails where nobody is looking. Here is the design answer to each, plus seven questions to put to your developer before you switch anything on.
An illustrative design for one MCP server over your ledger and invoicing system: read-only tools first, money-moving tools behind a two-step confirm and a named approver, reports built from Resources, and every call logged as a JSON-RPC message.
An illustrative design for one MCP server wrapping a booking calendar and a customer list: six tools, which ones may read freely, which ones need a two-step human confirm, and how elicitation lets the server ask before it changes a customer's day.
An illustrative design for one MCP server that wraps a store's orders, stock and helpdesk: which tools stay read-only, which ones need a two-step human confirm, and what a day with it actually looks like.
Three MCP servers later, the hard part was never the protocol. It was deciding what each server owns, what its tools are called, and what it refuses to do in a single call.
A skill is instructions, an MCP server is a new ability, and a plugin is packaging for other people. Three questions tell you which one your next job actually needs.
The word server sends business owners into a procurement meeting they do not need. Here is what an MCP server actually is, in plain English, and what it can do inside your company.
An MCP server gives an AI assistant hands, a skill gives it a procedure, and a plugin ships both to your team. Here is how the three layers fit together, with a working example of each from our own open-source tools.
Explore the transformative next 2-5 years of AI, the implications of AGI for software development, and how India's IT sector can pivot to lead through innovation and specialized expertise, moving beyond traditional coding services.
As Axis Bank projects a workforce drop to 1.01 lakh by FY26 driven by automation, the Indian financial sector faces a paradigm shift. Fintech enablers like Indianic.com are at the forefront, replacing manual roles with highly efficient AI and RPA sol...