MCP Server Development
Run your business from the ChatGPT or Claude you already pay for.
ChatGPT + ClaudeDashboard + MCP serverApproval-based by default
At a glance
Built for real work, not slide decks
What it is, who it's for and how we start — before you commit to anything bigger.
What this is
MCP (Model Context Protocol) is an open standard that lets AI assistants like ChatGPT and Claude use your tools. We build the MCP server, so your assistant can look things up and prepare work inside your business.
Who it's for
Owners and operators who already use ChatGPT or Claude and want it working on their real business. Also agencies that want to offer MCP builds to their own clients.
How it starts
We pick one workflow, connect read-only tools first and pilot it in weeks. Actions that change anything come later, each behind a human approval step.
Details
See the full picture
Everything below is crawlable and expandable. Open the sections that matter to you.
Every system we build gets a dashboard for your people and an MCP server for your AI assistant. Ask ChatGPT or Claude what's due, have it prepare the work, and approve before anything goes out.
It is designed for Business teams and Agencies & software houses and built around your existing tools, so the workflow fits how your team already works.
- Ask your business questions in plain English, from ChatGPT or Claude
- Connect the AI you already pay for to your real data and tools
- Read-only by default, with your approval before anything is sent, posted, paid or deleted
- A dashboard for people and an MCP server for AI, on the same system
- New Image RealtyA US broker agency run from one MCP inside Claude or ChatGPT, or from one dashboard: property search and leads, back-office CRM, REO claims, vendors, repairs, HOA and deadlines, all AI-reviewed.
- HyperbotsOur own platform that runs a business's Meta stack, TikTok, X, LinkedIn and Google ads and analytics. A dashboard plus an MCP server, approval-based by default.
- TwoApps MCP serverOur own public, read-only MCP server. Connect ChatGPT, Claude, Codex or Cursor and ask about our services, case studies and how to book a call.
- Your team jumps between tools to answer one simple questionAsk your business questions in plain English, from ChatGPT or Claude
- You pay for ChatGPT or Claude, but it can't see your businessConnect the AI you already pay for to your real data and tools
- You want AI to do the work, but not to send, pay or delete on its ownRead-only by default, with your approval before anything is sent, posted, paid or deleted
- Not everyone on the team wants to work in a chat windowA dashboard for people and an MCP server for AI, on the same system
- Workflow audit: which questions and tasks to hand to your AI assistant first
- An MCP server connected to your data and tools, starting with read-only tools
- Human approval steps on any tool that sends, posts, pays or deletes
- A dashboard for your team on the same system
- Connection set-up for ChatGPT and Claude, with clear rules on who can use what
- Monitoring, activity logs and handover notes
- 1Audit: map the questions and tasks your team repeats, and the systems behind them
- 2Pilot: ship one MCP server with read-only tools on a real workflow
- 3Stabilize: add approval gates, guardrails, monitoring and fallbacks before any write action
- 4Scale: add the next workflow and its tools without starting over
FAQ
Questions we hear a lot
Expand the questions that matter to you — answers are written in plain English, with no jargon.
MCP stands for Model Context Protocol, an open standard for connecting AI assistants to tools and data. An MCP server sits between your assistant and your systems. It lists what the assistant is allowed to do, such as "find overdue invoices", and does it within the limits you set.
We build approval-based by default. Tools start read-only. Anything that sends, posts, pays or deletes waits for a person to approve it. We agree up front who can connect and which tools each person can use.
We build for ChatGPT and Claude, which both support MCP connectors. Because MCP is an open standard, other assistants that support it can usually connect too.
Yes. Every system we build gets both: a dashboard for people and an MCP server for AI. They run on the same data and the same rules, so your team can use whichever suits the task.
No. The MCP server connects to the tools you already use, wherever they offer an API or export. If a workflow has no system behind it yet, we can build that too.
We scope it on a call. Depending on the work, it can be a fixed-price project, a monthly retainer for ongoing operations, revenue share or equity, or an hourly or daily rate.
What is an MCP server?
MCP stands for Model Context Protocol, an open standard for connecting AI assistants to tools and data. An MCP server sits between your assistant and your systems. It lists what the assistant is allowed to do, such as "find overdue invoices", and does it within the limits you set.
Is it safe to connect ChatGPT or Claude to our systems?
We build approval-based by default. Tools start read-only. Anything that sends, posts, pays or deletes waits for a person to approve it. We agree up front who can connect and which tools each person can use.
Which AI assistants does it work with?
We build for ChatGPT and Claude, which both support MCP connectors. Because MCP is an open standard, other assistants that support it can usually connect too.
Do we still get a normal dashboard?
Yes. Every system we build gets both: a dashboard for people and an MCP server for AI. They run on the same data and the same rules, so your team can use whichever suits the task.
Do we have to replace our current software?
No. The MCP server connects to the tools you already use, wherever they offer an API or export. If a workflow has no system behind it yet, we can build that too.
How is an MCP project priced?
We scope it on a call. Depending on the work, it can be a fixed-price project, a monthly retainer for ongoing operations, revenue share or equity, or an hourly or daily rate.
Ready to explore MCP Server Development?
Tell us what you want to build or automate. We'll scope a bounded first step, name the constraints, and agree how we work together.