MCP servers that connect your product to every AI app.
We build Model Context Protocol (MCP) servers for your product or internal systems. Once live, Claude, ChatGPT, Cursor and any other MCP-compatible AI app can use them, within the permissions you set.
One server. Every AI app. Fully under your control.
Works with every MCP client
Claude, ChatGPT, Cursor, Copilot and custom agents can all use the same server.
Tools from your API
We turn your API, database or SaaS features into clear, well-described tools.
Secure authentication
OAuth or API keys, so every user only reaches their own data.
Permissions and scopes
Separate read and write tools, with approval for sensitive actions.
Full audit log
Every tool call is logged, so you can see exactly what the AI did.
Hosting and monitoring
We host, monitor and update the server, or deploy it in your cloud.
From your API to every AI app.
Every project starts with a free assessment and a fixed-price proposal.
Map your systems
We review your API, data and the tasks users want to do from their AI apps.
Design the tools
We define a clear tool catalogue with inputs, outputs and permissions.
Build and secure
We build the server, add authentication and test it with real AI clients.
Deploy and support
We deploy, monitor and add new tools as your product grows.
Who MCP servers are for.
Typical starting points. Every project is scoped to your own systems.
SaaS companies
Let your customers use your product from inside Claude, ChatGPT or Cursor.
Internal teams
Give staff AI assistants that can look up CRM, ERP and order data.
Customer support
Let agents and AI tools search tickets, orders and knowledge bases.
Developer platforms
Expose your API to AI coding tools so developers integrate faster.
Data and analytics
Let AI apps run approved queries and reports on your data.
Operations
Trigger approved workflows, such as creating invoices or bookings, from chat.
What is an MCP server?
MCP (Model Context Protocol) is an open standard that lets AI apps connect to external tools and data. An MCP server describes what your product or system can do as a set of tools, so any compatible AI app can use them safely.
Which AI apps can use our MCP server?
Any MCP-compatible client, including Claude, ChatGPT, Cursor, GitHub Copilot and custom agents built by you or your customers. Support keeps growing across AI tools.
Do we need an existing API?
An existing API makes things faster, but it isn't required. We can also connect to a database or internal service, or build the API layer as part of the project.
Is it secure?
Yes. We use proper authentication such as OAuth, give each tool only the permissions it needs, separate read and write actions, and log every call so you can audit what the AI did.
Where is the MCP server hosted?
We can host and monitor it for you, or deploy it in your own cloud account. You own the code either way.
Make your product available to every AI app.
Tell us about your systems. We'll assess them for free and send a fixed-price proposal.