Model Context Protocol (MCP): Connect AI to Your IT Systems

The Model Context Protocol (MCP) is changing how companies interact with AI assistants. Until recently, these assistants operated in an information vacuum — they had no knowledge of your applications, servers, or business processes. With MCP, it becomes possible to connect an assistant like Claude directly to the structured data of your information system. This guide explains what MCP is, how it works, why it matters strategically for mid-market companies, and how UrbaHive puts it to practical use.

What Is the Model Context Protocol?

The Model Context Protocol is an open standard, released by Anthropic in 2024, that defines how a large language model (LLM) can query external data sources through a unified interface. The core idea is straightforward: an LLM can only produce relevant, organisation-specific answers if it has accurate information about that organisation's context. MCP provides the secure, structured channel to deliver that information.

MCP follows a client/server paradigm: a host application (the client) sends requests to an MCP server that exposes data or capabilities. The AI model, embedded in the client, receives the results and incorporates them into its response.

For a beginner-friendly explanation, see our article What Is the Model Context Protocol? Simple Definition and Examples.

MCP Architecture: Client, Server, and Context

The protocol rests on three components:

The MCP client

This is the application where the user interacts with the AI — Claude Desktop, claude.ai, Claude Code, or any compatible third-party tool. The client manages the session and forwards the user's requests.

The MCP server

This is the component deployed by data providers such as UrbaHive. It exposes a standardised API that the client can query. UrbaHive's MCP server provides read-only access to your IT map: applications, data flows, servers, infrastructure, and business processes.

The context

At each interaction, the client fetches relevant information from the server (based on the user's query) and injects it into the prompt sent to the model. The LLM then reasons over real, current data rather than generic knowledge.

This architecture enforces a clean separation between data (hosted in UrbaHive) and the model (hosted at Anthropic). Your data never leaves the UrbaHive infrastructure — only the result of a query is transmitted to the model, and every call is audited.

Why MCP Is Strategically Important for Enterprises

Giving AI a shared organisational reference

An AI assistant without organisational context can only produce generic answers. Once you provide it with a map of your IT landscape — which applications exist, how they communicate, which processes they support — its answers become operational. It can identify dependencies, detect risks, and summarise an application portfolio.

Accelerating architectural decisions

CIOs and enterprise architects spend a significant share of their time explaining the IT landscape to stakeholders. With MCP, any authorised team member can ask the AI direct questions about the IT perimeter: "Which applications depend on the SAP server?", "What data flows run through my billing system?" The AI answers from verified data.

Reducing documentation debt

IT maps tend to degrade as soon as they are not actively maintained. Coupled with an AI assistant through MCP, the map becomes a living reference that teams naturally query — which creates an incentive to keep it current.

Supporting NIS2 and DORA compliance

NIS2 and DORA regulations require organisations to have precise knowledge of their IT perimeter and critical dependencies. An AI assistant able to query the IT map in real time simplifies periodic review exercises, impact analysis, and reporting. See our guide NIS2 for SMEs: IT Mapping and Compliance.

Security and Compliance in UrbaHive's MCP Implementation

Introducing an AI connector legitimately raises security questions. UrbaHive has built its MCP implementation with several safeguards:

Read-only access. The MCP server exposes no write operations. The AI can consult your IT map, not modify it.
PAT token authentication. Every connection uses a Personal Access Token generated in the UrbaHive interface. Tokens can be revoked at any time.
Organisational scope. A token is bound to a single organisation (multi-tenant). It cannot be used to access another organisation's data.
Full audit logging. Every call to the MCP server is recorded in UrbaHive's audit log: who asked what, when.
European hosting, GDPR-compliant. Data remains on UrbaHive's Europe-hosted infrastructure. No IT data is sent to unauthorised third parties.

For an in-depth look at IT mapping and cybersecurity, see IT Mapping and Cybersecurity: The CISO's Guide.

Concrete Use Cases

For the CIO

"Summarise my application landscape in five points" — the AI produces a structured summary from the actual IT map, useful for preparing a board meeting or an audit.

For the enterprise architect

"Which applications are not linked to any business process?" — immediate identification of orphan applications, without SQL queries or manual pivot tables.

For the CISO

"Which systems are internet-facing and linked to personal data?" — the AI cross-references topology and classification information to prioritise security audits.

For the project manager

"Which business processes run through Salesforce?" — dependency mapping before a migration or a major upgrade.

For business teams

They can ask questions about the IT landscape without constantly soliciting the IT department, provided the map is up to date and a MCP token is available to them.

Getting Started with UrbaHive and MCP

Setup takes only a few steps, detailed in our tutorial Connect Claude to Your IT Map with MCP. Here is the overview:

Create an UrbaHive account — the Free plan is sufficient for an initial test (1 user, 25 applications).
Populate your IT map — applications, servers, data flows, processes.
Generate a PAT token in your organisation settings.
Configure Claude Desktop with the UrbaHive MCP server parameters.
Ask your first questions to Claude about your IT landscape.

Setup takes less than an hour for an environment already documented in UrbaHive. For the initial import of the IT map, allow a few days to a few weeks depending on perimeter complexity.

MCP and Enterprise Architecture Frameworks

UrbaHive natively supports TOGAF and ArchiMate frameworks. This means the concepts exposed by the MCP server — applications, flows, domains, capabilities — are aligned with these standards. An enterprise architect working with ArchiMate will find familiar concepts in the AI's responses. To learn more about ArchiMate, see ArchiMate: Understanding the Enterprise Architecture Language.

This alignment with market standards is particularly valuable during IT master plan exercises. See IT Master Plan: Methodology and Template for SMEs.

Conclusion

The Model Context Protocol represents a structural advance for organisations that want to leverage AI in their IT governance. By connecting an assistant like Claude to a living, well-maintained IT map, IT teams gain responsiveness, architects gain clarity, and managers gain reporting capability.

UrbaHive is among the first IT mapping platforms to offer a native MCP connector — hosted in Europe, GDPR-compliant, and built for mid-market organisations.

Start for free at app.urbahive.com/signup and explore the MCP connector at urbahive.com/connectors.

FAQ — Model Context Protocol in the Enterprise

What is the Model Context Protocol (MCP)?

MCP is an open standard that allows an AI assistant to connect to external data sources through a unified interface. It defines how the client (the AI application) and the server (the data source) exchange information securely.

Is MCP compatible with all AI assistants?

The protocol was designed by Anthropic and is native to Claude (Desktop, claude.ai, Claude Code). Other vendors are beginning to adopt it. UrbaHive has focused on Claude compatibility, which covers the majority of enterprise use cases today.

Is my IT data sent to Anthropic via MCP?

UrbaHive's MCP server responds to Claude client requests by transmitting only the data needed for the answer (the query result). Data remains hosted on UrbaHive's European infrastructure. Anthropic's privacy policy applies to exchanges between the client and the model.

Can MCP be used without an existing IT map?

MCP only adds value if the data source it exposes is populated. You need an IT map in UrbaHive — even a partial one — to start querying the AI about concrete elements. A minimal import (a dozen key applications) is sufficient for an initial test.

Is the MCP connector available on all UrbaHive plans?

The MCP connector is available from the Starter plan (€29/month). It is also included in Professional and Enterprise plans. See the Connectors page for details.