Development of Model Context Protocol (MCP) servers that let AI assistants securely access and operate your own systems and data.
The Model Context Protocol (MCP) is an open standard that lets AI assistants (such as Claude, ChatGPT or developer tools) connect to external systems in a uniform way: databases, internal APIs, files and business applications.
We build custom MCP servers for your systems, so AI can do more than chat – it can look up an order, create a ticket or generate a report – with controlled permissions and full audit logging.
What you get
- Design of MCP tools, resources and prompts
- Connections to internal APIs, databases and ERP/CRM systems
- OAuth 2.1 authentication and role-based access control
- Audit log of every action performed by the AI
- Deployment locally (stdio) or as a remote server (Streamable HTTP)
Benefits
- Build once, use from many AI clients
- AI performs real tasks, not just text generation
- Secure, controlled access to data
- Fast rollout thanks to the standard protocol
Technologies
- MCP TypeScript SDK
- MCP Python SDK
- Node.js
- OAuth 2.1
- Docker
Frequently asked questions
How is MCP different from a traditional API?
MCP describes available operations and data in a way AI models understand. The same server can be used from any MCP-compatible AI client without a separate integration.
Is it safe to give AI access to our systems?
Yes, if designed properly. We only expose explicitly allowed operations, require confirmation for critical steps and log every call.