MCP is how AI safely talks to your SAP landscape.
Model Context Protocol is the open standard that lets any AI client — Claude, ChatGPT, Gemini, SAP Joule — discover and call enterprise capabilities through one governed interface, instead of a custom integration per pair.
One protocol, not another point-to-point integration.
Open standard
A vendor-neutral protocol for connecting AI models to tools, data and systems — not a proprietary SAP or Anthropic API.
Tool discovery
AI clients discover what an MCP server exposes at runtime — actions, schemas, permissions — instead of hard-coded integrations.
Governed invocation
Every call carries identity and scope, so an agent can only do what your SAP authorizations already allow.
Any AI client. One governed path into SAP.
An MCP server exposes SAP capabilities — S/4HANA processes, BTP services, Cloud Foundry and Kyma workloads — as discoverable tools that any compliant AI client can call under your existing authorization model.
Protocol
The alternative is N×M integration debt.
Escape N×M integrations
Without a standard, every AI client needs a bespoke integration to every SAP system. MCP collapses that to N+M.
Governance by design
Authorization, logging and scoping live at the protocol layer — not bolted onto each individual integration.
Model independence
Swap or add AI models — Claude, ChatGPT, Gemini, Joule — without rebuilding your SAP-side integrations.
Reuse across the enterprise
One MCP server for S/4HANA can serve a support agent, a finance copilot and a developer tool alike.
The same protocol, four different AI clients.
MCP means you don't rebuild the integration every time a new AI client shows up. These are the enterprise scenarios we deploy most often.
SAP + Claude
Claude as an enterprise research and drafting copilot, grounded in live SAP data through governed MCP tools — for finance, procurement and analyst workflows.
SAP + ChatGPT
ChatGPT enterprise deployments calling into SAP capabilities via MCP, under the same authorization boundaries as any human SAP user.
SAP + Gemini
Gemini integrated into SAP-adjacent Workspace workflows, with MCP as the governed bridge back into S/4HANA processes.
SAP + Joule
SAP's own copilot extended with custom MCP tools for processes Joule doesn't cover out of the box — without leaving SAP's native experience.
MCP servers, deployed on SAP BTP.
We build and operate MCP servers as first-class BTP workloads — on Cloud Foundry for managed simplicity, or on Kyma when you need Kubernetes-native control — wired into SAP Integration Suite and Event Mesh for asynchronous, event-driven agents.
The agent inherits your governance. It doesn't bypass it.
A production-grade MCP deployment enforces the same authorization model your SAP users already live under — nothing more, nothing implicit.
Authentication
Every MCP session carries a verifiable identity — service principal or delegated user — never an anonymous or shared credential.
Authorization inheritance
Tool calls are scoped to what the underlying SAP user is actually allowed to do. No AI client gets a wider door than a human would.
Audit trail
Every tool call is logged with caller identity, parameters and outcome — reviewable by the same teams that audit human SAP access today.
Design your MCP layer with an SAP-native team.
We combine SAP BTP engineering with hands-on MCP implementation experience — a rare pairing.