Custom apps & software
Build an MCP Server So AI Can Use Your API or Database — ₹6,999
One Model Context Protocol server wrapping one API, database or internal tool, with up to 5 tools, tested in a real AI client and handed over with the source.
Delivered in 3-5 working days
Fixed price · one-time · no hidden charges
or
Ask on WhatsApp before you buyA real person replies — usually within minutes during the day (IST).
How it works
- Pay ₹6,999 and send the briefSecure Razorpay checkout; then share the API docs or schema and the list of things the AI should do.
- Built and testedWe write the server, run it in MCP Inspector and your chosen AI app, and send you the screenshots.
- HandoverSource code, README and the config snippet in 3-5 working days, with a walkthrough on WhatsApp.
The short answer
ZoopCoder builds one custom Model Context Protocol (MCP) server that connects a single API, database or internal tool of yours to Claude and other MCP-capable AI apps for a fixed ₹6,999, with up to 5 tools, tested and delivered in 3-5 working days. An MCP server is the standard way to let an AI app call your systems: it advertises named tools with typed inputs, and the AI decides when to call them. One detail breaks more first-time servers than any other: a server that talks over standard input and output must never write anything except protocol messages to stdout, so a stray print or console.log silently corrupts the JSON-RPC stream and the client just reports that the server failed to start — all logging has to go to stderr.
What you get
- One MCP server in Python or TypeScript, built on the official MCP SDK, wrapping one API, one database or one internal tool of your choice
- Up to 5 tools with clear names, descriptions and validated typed inputs, so the AI picks the right one and passes sane arguments
- Read-only access by default; a write or delete tool is added only if you ask for it, counts within the 5, and is limited to what you approve
- Credentials read from environment variables, never written into the code or returned to the AI
- Error handling that returns a readable message to the AI instead of crashing the server, and logging to stderr so the protocol stream stays clean
- Testing in MCP Inspector and in one real client of your choice (Claude Desktop or Claude Code), with screenshots of every tool working
- The full source code, a README with install and run steps, and the exact client configuration snippet to paste in
- One round of changes to tool names, descriptions or output format after you try it
| Price | ₹6,999 (fixed) |
|---|---|
| Scope | One MCP server, one API, database or tool |
| Tools | Up to 5 |
| Language | Python or TypeScript (official MCP SDK) |
| Transport | Local (stdio); hosted remote version quoted separately |
| Tested in | MCP Inspector and one AI app of your choice |
| Delivery | Source code, README and client config |
| Turnaround | 3-5 working days |
What we need from you
- The API documentation, OpenAPI file or database schema the server should wrap, plus a sandbox or read-only credential for testing
- The 3-5 things you want the AI to be able to do, in plain words (for example: look up an order by ID, list overdue invoices, create a support ticket)
- Which AI app you will use it with, and whether it runs on your own computer or on a server you control
- Confirmation of any data the AI must never see, so we can leave it out of the tool outputs
Not included
- More than one API, database or system, or more than 5 tools — quoted separately
- Hosting the server for you, domain, TLS and uptime monitoring — the server runs on your computer or your own server; a hosted remote version is quoted separately
- OAuth login and per-user permissions for a multi-user remote server — quoted separately
- Building or changing the API or database itself; we wrap what already exists
- Fees of the AI app, the AI model and the API being wrapped — paid to those providers directly
- A chatbot or assistant interface for your customers — see our AI Chatbot for Website
- Ongoing maintenance when the upstream API changes — a new change is a new, small job
About this service
Most businesses that ask for an MCP server have the same problem: the data or the action they want the AI to use already exists behind an API or a database, and pasting exports into a chat window every time is not a workflow. The Model Context Protocol is the open standard that closes that gap — an MCP server exposes your system as a small set of named tools, and any MCP-capable AI app can discover and call them. We keep the scope deliberately small: one system, up to five well-described tools, read-only unless you decide otherwise. That is what makes a fixed price honest, and it is also what makes the result safe — an AI with five narrow tools is far easier to trust than one with a broad database login. Tool descriptions matter more than people expect, because they are what the AI reads when deciding which tool to call, so we write them carefully and test with real prompts rather than only checking that the code runs. If you later need a hosted multi-user version with OAuth, or several systems behind one server, we quote that separately once we have seen the first one working. If what you actually want is a customer-facing assistant on your website, our AI Chatbot for Website is the better fit, and for a plain system-to-system connection with no AI involved see API Integration.
Questions before you buy
What is an MCP server, in plain words?
It is a small program that sits between an AI app and one of your systems. It lists the actions it offers (for example, find a customer by phone number), and the AI app calls them when a conversation needs that data. MCP is an open standard, so the same server works with any app that supports it.
Which AI apps will it work with?
Any client that supports MCP. We test in MCP Inspector and in one real client you pick, such as Claude Desktop or Claude Code, and give you the exact configuration to add it. We do not promise behaviour in a client we have not tested.
Is it safe to let an AI touch my database?
It is as safe as the access you give it. By default the server is read-only, uses a credential limited to the tables or endpoints it needs, and leaves out fields you tell us the AI must not see. Any tool that writes or deletes is added only on your request.
Does it have to run on my laptop?
The delivered version runs locally over standard input and output, or on a server you control. A hosted remote version that several people can connect to needs authentication and hosting decisions, so it is quoted separately.
Why is a fixed price possible when every API is different?
Because the scope is capped: one system and up to 5 tools. If your system is larger than that, we tell you before you pay and quote the bigger job separately.
Can you also build the AI chatbot that uses it?
That is a different product. A website chatbot for your customers is our AI Chatbot for Website service; this one connects your own system to an AI app you or your team use.
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