Your AI agent, connected to everything you use.
We set up AI agents that manage your apps through MCP — the Model Context Protocol — so your agent can read, write, search and act across your tools in seconds. Quicker, smarter access to any app, for any agent. No coding needed from you.
What is MCP, in plain English?
MCP — Model Context Protocol — is an open standard launched by Anthropic in November 2024. Think of it as USB-C for AI: one common plug between an AI agent and the outside world. Instead of teaching every agent every app from scratch, MCP gives each app a standard “menu” of tools the agent can discover and use on its own.
The MCP server
One small connector per app. It lists what the agent is allowed to do — “search emails”, “create a page”, “check stock” — in a language every agent understands.
The agent
Claude Code, Hermes Agent, Muse and friends. The agent reads the menu, picks the right tool for your request, and calls it — no hard-coded steps from you.
You stay in charge
Permissions, approvals and read-only modes mean the agent only touches what you allow. You see what it did, and you can revoke access any time.
From “AI that chats” to “AI that does” in 4 steps
You bring the apps and the agent you like. We do the wiring, safely, and hand you a working setup — usually in days, not months.
Map your tools
A short call: which apps run your day, and what do you wish an assistant just handled?
Connect via MCP
We install and configure the right MCP servers, with the tightest permissions that still get the job done.
Teach the workflows
We turn your repeat jobs — inbox triage, posting, reporting, follow-ups — into tested agent routines.
You just ask
“Draft replies to today’s enquiries.” “Post this week’s update.” The agent picks the tools and does it.
MCP vs API: the difference that matters
APIs are not going away — MCP usually sits on top of them. The difference is who does the plumbing. With a raw API, a developer hard-codes every call in advance. With MCP, the agent discovers the tools at runtime and decides what to call based on what you asked for.
| Traditional API | MCP | |
|---|---|---|
| Built for | Programs talking to programs | AI agents talking to tools |
| How tools are found | A developer reads docs and wires each one by hand | The server describes itself — the agent reads the menu itself |
| Adding a new app | A new integration project, per agent, per app | Connect one server — every MCP agent can use it |
| Who chooses the next step | Code written in advance | The agent, at runtime, based on your request |
| Best for | Fixed, high-volume pipelines | Flexible, intent-based work across many tools |
That is why adoption moved so fast: OpenAI, Google and Microsoft all added MCP support in 2025, and in December 2025 Anthropic donated MCP to the Linux Foundation’s Agentic AI Foundation. It is no longer one company’s experiment — it is the standard way agents reach tools.
Built for people who do the work themselves
Freelancers
Clients, invoices, files, follow-ups. Your agent chases the admin — drafts proposals from your notes, updates your tracker, reminds clients — while you do billable work.
Influencers & creators
Content calendars, comments, sponsorships, posting across platforms. Your agent repurposes one video into posts, drafts captions, and keeps your schedule honest.
Small businesses
Enquiries answered faster, stock and bookings checked, reports summarised every morning. A small team with an agent feels like a bigger one.
Launch pricing — Singapore dollars
First-draft launch prices while we onboard our first clients. Every setup includes a handover session, so you are never locked in or left guessing. Final quote depends on how many apps you connect.
Starter Setup
- 1 agent (Claude, Hermes or Muse)
- Up to 3 app connections via MCP
- 2 ready-made workflows
- 1-hour handover training
Business Setup ⭐
- Up to 2 agents, working together
- Up to 8 app connections via MCP
- 5 custom workflows for your business
- Permissions & safety review
- 2 training sessions + written guide
Care Plan
- We keep your connections healthy
- New MCP servers added as they launch
- Monthly workflow tune-up
- Priority support
Before you ask
Do I need to know how to code?
No. Setup, permissions and testing are our job. If you can describe the job in plain words — “reply to enquiries like this” — you can use an agent.
Which agent should I use — Claude Code, Hermes, or Muse?
It depends on the work. Claude Code shines inside a codebase. Hermes Agent shines as an always-on, self-hosted assistant with memory. Muse is a friendly all-round agent for everyday tasks. We will recommend one — or a combination — on the first call, and MCP means you are not locked in.
Is it safe to give an agent access to my apps?
Done properly, yes. We use the narrowest permissions, read-only where possible, approvals for anything sensitive, and you can revoke any connection in one click. We will show you exactly what your agent can and cannot touch.
What if an app has no MCP server yet?
With 10,000+ public servers, most popular apps are covered. If yours is not, we can often bridge it through its API, a browser workflow, or a small custom server — we will tell you honestly on the call.
Can I switch agents later?
Yes — that is the point of a standard. Your MCP connections stay; point a new agent at the same servers and keep working.
Learn MCP the simple way
Short, plain-English reads — what MCP is, why it beats raw APIs for agents, and where agentic development is heading. Read all 10 articles →
Ready to give your agent real hands?
Tell us which apps run your day and what you would hand off first. We will reply with a simple plan and a fixed quote — no jargon, no obligation.
Hero image via Cloudinary (source: Twistly). MCP is an open standard maintained by the Agentic AI Foundation (Linux Foundation).