MCP connector development.
We connect Claude, ChatGPT or Gemini to the software your business already runs on, so the AI can do real work there, safely. Treasury, accounting, CRM, ticketing, or an in-house system nobody else will touch.
What an MCP connector actually is.
MCP (Model Context Protocol) is an open standard that lets an AI assistant use your business software directly. A connector gives the AI a short, fixed list of actions it may take, like "find this invoice" or "add this customer". The AI asks, your system answers with real data. No copy-paste, and no robot clicking through screens that breaks when a button moves.
It uses your own accounts.
The connector signs in as you, to your own accounts. Cancel its access and it stops. Nothing passes through an outside company that keeps a copy.
You can see exactly what the AI is allowed to do.
Every action is written down: what it needs and what it gives back. One short list shows everything the AI can do. You do not get that with an AI clicking around a website.
It is not locked to us.
MCP is a public standard, not our own format. A connector we build for you works in Claude Desktop, Claude Code and other AI apps that support the standard. It keeps working if you stop working with us.
What we build.
- Connectors for tools that have no official AI integration and probably never will: regional accounting software, niche CRMs, industry systems
- Connecting an AI tool you built yourself to the software your business already runs on
- Connections to your own in-house systems, so the AI can read and update your data without anyone sending it to an outside company
- Reporting connectors that can only read, when the safe answer is that the AI can look but not touch
- Connectors that can make changes, where anything that deletes or overwrites data needs your clear yes first
- Connectors for software companies that need one setup serving many customers at once
- Fixing or taking over connectors somebody else built and stopped looking after
How a connector gets built.
We map your work, not the software.
The first question is never what the software can technically do. It is which decision you want to stop making by hand. Connectors planned around the software end up with forty actions nobody uses. Connectors planned around real work end up with six that get used every day.
We write down what the AI may do.
A written list of every action the connector will offer: what it reads, what it can change, and what it will refuse to do. You approve this list before any building starts, because this is where safety is decided.
We build on your real system.
We start in a practice account when the software offers one. Then we move to your live account, with every change switched off until you say so. Anything that can change your data is tested.
We install it where you work.
Claude Desktop, Claude Code, or your own app. We sit with your team the first time they use it, because good connectors usually fail in one way: nobody knows what they can do.
We keep it running.
This is the part nobody quotes for. AI models get retired, software vendors change things without notice, logins expire. On a support plan we watch what we built and fix it before you notice.
What it costs.
Connector work runs through the same route as everything else we build: a paid Automation Plan that maps the workflow and prices the build, credited in full to your first invoice, then a fixed price. Ongoing connectors live on a monthly plan that includes the maintenance.
See plans and pricingQuestions we get asked.
What is MCP connector development?
MCP connector development is building a connection between one of your business systems and an AI assistant like Claude, ChatGPT or Gemini, using the open Model Context Protocol standard, so the AI can use that system directly. It covers choosing which actions the AI may take, building them, connecting safely to your own accounts, testing everything that can change data, and keeping the connector working when the software changes.
How long does a connector take to build?
A connector for well-documented software with a clear workflow is usually live in 2 to 3 weeks. Older systems, systems with little documentation, or connectors that must serve many customers at once take longer. We size those in the Automation Plan before quoting anything.
Can you build a connector for software that has no public API?
Sometimes. If the vendor offers private or partner access for other software (an API) and we can get a login for it, yes. If the only way in is the website itself, we will tell you that a robot clicking through it is fragile and usually not worth paying for. We would rather say that than sell you something that breaks in a month.
Does the AI provider train on data the connector returns?
No. Connectors call Claude, OpenAI or Google through your own accounts, under those providers business terms, which exclude training on your data. We do not store query content either.
What happens to the connector if we stop working with you?
It keeps working. The connector follows the public MCP standard and runs on your own accounts, so you can host it yourself or hand it to another vendor. There is no lock-in beyond one month notice on the recurring plan.
Do you work with companies outside Singapore?
Yes. Pulsar Interactive Pte. Ltd. is incorporated in Singapore (UEN 202550480W) and works across South East Asia and Latin America, in English or Spanish.
Tell us which tool is not talking to your AI.
A free intro call, then a written plan. If a connector is the wrong answer for your case, we will say so on the call.