MCP for enterprises: turn your systems into capabilities AI can use safely.

We design and implement private MCP servers that expose enterprise capabilities (look up customer, find order, create booking, update CRM) to any authorised agent, without opening databases.

Definition

Who it is for

  • CTO
  • Architecture
  • Platform and integration
  • AI Leaders

MCP (Model Context Protocol). MCP (Model Context Protocol) is an open protocol that standardises how AI models and agents access external tools, data and capabilities. In an enterprise, an MCP layer turns systems such as SAP, Salesforce, the ERP, the CRM or the Data Lake into reusable, governed services ("look up invoice", "check availability", "create request") that any authorised agent can use without accessing databases directly.

Why does a company need MCP?

Without a shared layer, every agent carries its own integration with every system: three agents, three different Salesforce integrations. It is slow, expensive, inconsistent and hard to govern. With an enterprise MCP layer, each system is connected once and exposed as a set of capabilities with permissions.

  1. Company Systems: SAP · Salesforce · ERP · CRM · databases · Data Lake · in-house software
  2. Enterprise MCP Layer: capabilities, permissions, audit
  3. Authorised Agents: digital workers, copilots, partner agents

What an enterprise MCP server exposes

Business capabilities, not tables. Each with its contract, its permissions and its usage log.

  • Look up customer and history
  • Find order and delivery status
  • Check availability and create booking
  • Look up invoice and payment status
  • Generate document or request
  • Update CRM and open case
  • Check stock and calendar

Security, permissions and reuse

The MCP layer inherits identity and permissions from the AI Operating Layer: which agent can invoke which capability, with which scope, on which data, with which limits and with which human approval. Everything is audited.

  • Bounded capabilities with an explicit contract
  • Scopes per agent and per end user
  • Audit of every invocation
  • Human approval for critical actions
  • Direct database access
  • Free queries over the Data Lake
  • Actions outside the granted scope

Integration with SAP, Salesforce, ERP, CRM and Data Lake

We build the MCP server on the system’s API when it exists, on the Company Memory when the data is already unified, and on RPA or browser automation when the system is legacy and exposes nothing. The agent does not notice the difference: it invokes a capability.

MCP and Digital Workers

Twinny’s digital workers consume MCP capabilities to execute. And the same capabilities become available, if the customer authorises it, to corporate copilots and external agents through the Agent Gateway. Connect once, use everywhere.

Frequently asked questions

What is MCP?
Model Context Protocol: an open protocol for AI agents and models to access external tools and data in a standardised way.
What is an enterprise or private MCP server?
An MCP server deployed inside the company’s perimeter (or in its cloud) that exposes business capabilities of its systems to authorised agents, with identity, permissions and audit.
Does MCP expose the database directly?
It should not. We prefer exposing controlled services and capabilities (find order, create booking) rather than free queries over tables.
Can an MCP be built over SAP or Salesforce?
Yes. Over their APIs, over the Company Memory or, for legacy systems without an API, through RPA and browser automation wrapped as an MCP capability.
Who can use my company’s MCPs?
The agents you authorise: Twinny digital workers, corporate copilots or third-party agents, always through the Agent Gateway with defined scopes.

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