Custom MCP servers
Expose useful product capabilities through a clear server interface, designed around the workflows your customers need.
OUR EXPERTISE
MCP Development
Connect AI assistants to your product through purpose-built Model Context Protocol servers, tools and permission-aware workflows.
THE ENGINEERING OF POSSIBILITY
BUILT AROUND YOUR PRIORITIES
Your product, within reach of an AI assistant.
Make useful workflows available where your customers already work. A purpose-built MCP integration can let a compatible assistant retrieve account information, find resources or request an allowed action through your existing application.
Start with a real workflow
For WhoisExtractor MCP, the public integration presents account, order, download, invoice and support workflows through compatible AI clients. It is a concrete example of taking product capabilities beyond a traditional dashboard.
Explore the WhoisExtractor MCP project.
A connection with clear boundaries
We design tool contracts, permission checks and error handling together. The application remains responsible for authorization; an assistant’s request is never a substitute for access control. Tool output is treated as data, and sensitive changes need an explicit, agreed workflow.
A practical first release
Bring your product API and a short list of user tasks. We will help identify the clients to test, the implementation scope and the work needed to maintain it.
A PRACTICAL SCOPE
What we can build together.
We shape the final scope around your priorities, constraints and existing systems.
Tools with clear contracts
Define inputs, outputs and actionable errors so compatible assistants can discover and use your product capabilities.
Identity and permissions
Connect authentication and authorization to the actual application. Check account access on the server for every protected operation.
Existing API integration
Wrap suitable APIs and business logic rather than duplicate your application. Preserve validation and business rules.
Careful write operations
Separate reads from changes, expose consequences clearly, and design confirmation and audit handling for sensitive actions.
Client testing and documentation
Validate the agreed clients, document setup and scopes, and test timeouts, revoked access and unexpected inputs.
FROM DISCOVERY TO DELIVERY
A plan you can follow.
Scope and timing are agreed after discovery, with reviews throughout delivery.
- 01
Choose the useful tools
Map user requests to real application capabilities. Identify the minimum useful read and write operations.
- 02
Define the trust boundaries
Agree identity, scopes, tenant isolation, data handling and confirmation requirements before implementing tool calls.
- 03
Build and connect
Implement the MCP server and API adapters, then test the agreed transport and compatible client setup.
- 04
Verify and hand over
Exercise authorization and failure paths, document setup and operations, and prepare a maintainable release.
BEFORE WE BUILD
The right questions come first.
What is MCP?
The Model Context Protocol gives compatible AI applications a standard way to connect to external tools and context. An MCP server exposes selected capabilities of your product; it does not replace your application or database.
Is this the same as a website chatbot?
A website chatbot is a conversation interface on your site. An MCP integration lets compatible AI applications work with your product’s tools and context. A project may use either approach or both.
Can you connect an existing SaaS product?
Yes, where the product exposes suitable APIs or business logic. We first review authentication, permissions, rate limits and the operations you want assistants to perform.
Will it work with every AI client?
Client capabilities and connection requirements differ. We agree a target client list, test those integrations and document any limitations instead of promising universal compatibility.
How do we begin?
Share your API documentation and three or four tasks users should be able to request. We will map the tool contracts, permissions and implementation scope with you.
LET’S BUILD SOMETHING USEFUL
Let’s put your next step in focus.
Tell us what you want to achieve with mcp development. We’ll help clarify the scope and a practical way forward.