# MCP servers are integrations. We run them like one.

**In short:** If your AI agents need to reach a system, that is an integration. We build an MCP server for it, host it in the EU, and operate it permanently: typed and scoped tools, read-only by default, write access by contract, an audit trail for every tool call, and upstream API changes caught before they break your agents. It runs under the same contract as every other integration we run.

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## 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.

## Frequently asked questions

### Which AI platforms do you support?

Claude, Microsoft Copilot Studio, and custom agent frameworks that connect over MCP. Platforms differ in how they handle authentication and tool confirmation, so we test against the platforms you use as part of the implementation.

### Can the agent write data, or only read it?

Both. Every server ships read-only; write tools are added per operation and agreed in the contract. Create-ticket can exist while delete-record does not. The agent only sees the tools you contracted.

### What about prompt injection?

We cannot stop an agent from being manipulated - that lives in your AI platform. What we control is what a manipulated agent can do: only contracted tools, scoped per operation, with every call logged.

### Does our conversation data end up in your logs?

We log tool calls, not conversations: the caller, the tool, its arguments, and whether the call succeeded. Arguments can contain personal data, so the audit log is EU-hosted and covered by the Data Processing Agreement we sign with every customer.

### Do we need an existing integration with you first?

No. An MCP server can be your first integration with us. If we already run one against the same system, the implementation is faster because the connector already exists.

### Is this a separate product?

No. An MCP server is an integration with an agent at the other end. Same scoping call, same fixed-price quote within 48 hours, same contract, same operations team.

Tell us which system your agents need to reach and which AI platform you use. Fixed-price quote within 48 hours.

- Email: hello@seamless.engineering
- Contact form: https://seamless.engineering/mcp/#contact