What is the Model Context Protocol (MCP)? A clear guide
MCP is the “USB-C port” for artificial intelligence. We explain how the protocol works and why it matters so much for businesses.
Model Context Protocol
MCP servers: the bridge between AI and your systems
The Model Context Protocol (MCP) is the open standard that lets AI assistants such as Claude or ChatGPT talk to external tools and data. We build MCP servers that make your systems available to AI – securely, traceably and with the right permissions.
Why it matters
MCP server development
Instead of building a separate integration for every AI tool, an MCP server exposes your data and functions once, in a standard way: as tools (actions such as “create invoice”), resources (data such as customer records) and prompts (reusable templates). Any MCP-capable client can then use them – from desktop assistants to IDEs to your own agents.
We design the interface so language models understand it well, implement authentication (OAuth 2.1), roles and rate limits, and can operate the server for you – locally, in your cloud or with an EU hosting provider.
What you get
Scope of work
Tool & schema design
Precise tool descriptions and input schemas that models use correctly and reliably.
Secure authentication
OAuth 2.1, API keys or SSO – with fine-grained permissions per user and tool.
Remote & local
Streamable HTTP servers for teams, or local stdio servers for sensitive data on the desktop.
Connect any system
ERP, CRM, databases, DMS, e-commerce platforms, industry software or legacy APIs.
Audit logs & limits
Every tool call is logged, rate-limited and traceable.
Documentation & maintenance
Clean docs, automated tests and updates as the specification evolves.
Typical uses
What companies use it for
- Let Claude or ChatGPT talk directly to your ERP or CRM
- Query internal databases in plain language – read-only and permission-checked
- Make your own SaaS product “AI-ready” and offer customers an official MCP server
- Give developers access to tickets, docs and deployments right inside the IDE
- Unlock industry software without a modern API through an MCP adapter
Process
How we work
Use case & data
Which questions and actions should the AI handle? Which data is off-limits?
Interface design
Tools, resources and prompts are designed to be easy for language models to use.
Build & test
Implementation with the official SDKs and evaluation with real prompts.
Deploy & operate
Hosting, monitoring, updates – or a clean handover to your IT team.
Technology
What we work with
- MCP TypeScript SDK
- MCP Python SDK
- OAuth 2.1
- Streamable HTTP
- stdio
- Docker
- PostgreSQL
- REST & GraphQL
FAQ
Frequently asked questions
What is an MCP server?
An MCP server is a small program that exposes a system’s data and functions according to the Model Context Protocol. AI applications (MCP clients) can then discover and call these tools in a standard way.
Which AI applications support MCP?
MCP is supported by Claude, ChatGPT, many development environments such as VS Code and Cursor, and numerous agent frameworks. A server you build once can be used with all of these clients, within the features each one supports.
Is MCP secure enough for business data?
MCP itself is a protocol – security comes from the implementation. We rely on OAuth, least-privilege permissions, input validation, prompt-injection safeguards and complete audit logging.
How much does a custom MCP server cost?
A focused server with a handful of tools can often be delivered in a few days. After a free initial call we give you a transparent quote – as a fixed price or a time budget.
Further reading
Clearly explained: AI, agents & MCP
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