MCP servers are integrations. We run them like one.

The gap between the agent and the system

Most agent pilots stall at the same point: "and then it would call our API." The AI platform vendor will not build a connector to your ERP. The AI team does not want to run middleware. IT security will not approve raw API keys pasted into an agent platform. And the open-source MCP server someone found on GitHub runs wherever someone happened to start it, with nobody on call when it breaks.

It is the same ownership gap we close for every integration. Only the consumer changed: an agent instead of another SaaS system.

What we build

One MCP server per system, running in infrastructure isolated per customer, reachable over streamable HTTP from Claude, Microsoft Copilot Studio, or your own agent framework. You keep your AI platform; we make it reach your systems.

• Typed tools, not raw API access. Each tool does one thing, with a schema and a description written for the agent. Filtering and pagination are parameters, so the agent asks for the records it needs.
• Read-only by default, writes by contract. Create the ticket, update the record, trigger the process: every write tool is scoped per operation and agreed in the contract. An operation that is not contracted does not exist as a tool, so the agent cannot call it.
• An audit trail for every tool call. Who called, which tool, with which arguments, and whether the call succeeded. Stored in the EU.
• Caller identity, stated explicitly. Where your platform passes the user's identity via OAuth, tools act with that user's permissions in the upstream system. Where it does not, they act as a contracted service identity, and the audit log says so.
• Credentials never reach the agent. API keys and tokens stay in our secrets management. The agent only ever sees tools.
• Idempotent writes. Agents retry. Write tools are built so that a retry does not create five tickets.

What happens after go-live

When a vendor changes their API, a pipeline fails loudly. An agent fails quietly: its tools return errors or wrong data, and it simply gets worse at its job until someone notices.

We track the upstream APIs your tools depend on and fix the tools before a change reaches your agents. Beyond that, an MCP server runs under the same operating model as every integration we run, with monitoring, alerting, and incident response. The MCP specification itself is still moving, and we keep your servers current with it.

Side by side

	Open-source server or in-house script	Hosted MCP platform	seamless
Hosting	Wherever someone put it	Often US-hosted, multi-tenant	EU-hosted, isolated per customer
Operations	Whoever built it, when they have time	Self-service	Monitored and operated by us
Tool scope	Whatever the server exposes	Catalog defaults	Contracted per operation
Audit trail	Rarely	Platform-level	Per tool call
Upstream API changes	Found when the agent breaks	Patched when the vendor notices	Tracked and fixed before they reach your agents
Contract	None	Terms of service	German law, DPA

When you do not need us

A read-only prototype against a system with a decent open-source MCP server is a job for one developer and an afternoon. If your vendor hosts a first-party MCP server that passes your security review, use it.

We are the right choice when the agent has to write, when the system is internal or niche, when security wants scoping and an audit trail, and when the whole thing has to keep working for years without one of your engineers babysitting it.