PowerConnect + MCP: Your SAP Data Is Now an Interface for AI Agents
Every major observability platform has shipped an MCP server in the last year. That changes what PowerConnect is for - and why time-stamped, enterprise-grade SAP data is suddenly the most important input in the agentic AI stack.
This article was authored by Gowtham Magal, PowerConnect SAP Solution Specialist at RHONDOS.
A quiet platform shift that changes the job description
Something fundamental happened to enterprise software over the last twelve months, and most people outside the platform teams haven't fully caught up to it yet.
Model Context Protocol (MCP), the open standard introduced by Anthropic, has gone from a curiosity to a default expectation. It's the layer that lets a large language model - Claude, Copilot, Cursor, Amazon Q, whatever the team standardizes on - reason over a system the way a senior engineer would. The LLM can discover what tools exist on a platform, what data those tools expose, and how to query them. Instead of a developer reading API docs and hand-writing integration code, an engineer describes a goal in plain English, and the agent figures out the calls.
That's not a UX upgrade. It's a re-platforming of how humans interact with enterprise systems.
And the major observability and data platforms have noticed.
The platforms made themselves agent-native
In roughly a year, the three platforms most SAP shops have invested heavily in Dynatrace, Splunk, and Elastic - have all shipped first-party MCP servers:
Dynatrace exposed its full intelligence stack through the Dynatrace MCP Server, now available remotely. Grail, Davis AI, and Smartscape are all addressable by any MCP client. An engineer in VS Code, Claude Desktop, or Cursor can generate DQL queries from natural language, run a multi-phase incident investigation, and surface security insights without ever opening the Dynatrace UI.
Splunk released the Splunk Cloud Platform MCP Server (controlled availability, also on AWS Marketplace). An analyst can ask "what are the top alerts from the past 24 hours?"and the LLM generates and executes a real SPL search against the customer's index — no SPL expertise required.
Elastic shipped the Elastic search MCP Server and the newer Agent Builder MCP server, which lets agents list, map, and query any Elastic search index in natural language.
The pattern is the same across all three: take the platform's most powerful capabilities, wrap them in MCP, and let agents drive. The barrier between "junior engineer with a question" and "senior engineer with the full keyboard" collapses.
This is good news for everyone who runs IT inside one of those platforms. But it surfaces a problem that's been latent in most SAP enterprises for years.
The SAP-shaped hole in your agent's worldview
Here's the gap.
An AI agent reasoning over Dynatrace, Splunk, or Elastic only sees what's in those platforms. It can correlate Kubernetes pod restarts with JVM heap pressure. It can chase down a Postgres latency spike. It can map a security event to the host that emitted it.
What it can't do is see SAP — unless SAP telemetry is also flowing into the platform.
And in most enterprises, it isn't. SAP runs on its own monitoring stack, governed by Basis admins, with its own alerting and its own dashboards. The observability platform sees the infrastructure around SAP — the network, the database host, sometimes the JVM — but not the work processes, IDoc queues, ABAP dumps, batch job chains, or business KPIs that actually tell you whether SAP is healthy.
So when an SRE asks the agent, "Why did order processing slow down at 14:00?" — the LLM reasons over half the picture. The half that doesn't run the business.
That's the gap PowerConnect closes.
What PowerConnect actually does
PowerConnect streams 200+ SAP metrics, logs, and events — drawn from ABAP, S/4HANA, Java, SaaS, and RISE environments — directly into Splunk or Dynatrace via SAP-certified lightweight agents. Coverage spans the full SAP estate: ECC and S/4HANA on the ABAP side, the Java stack, and SAP cloud services like Ariba, Fieldglass, SuccessFactors, CPI, Analytics Cloud, and API Management.
Crucially, that data lands in the platform as time-stamped, enterprise-grade telemetry— the same format and the same governance model as the rest of your observability data. It's queryable by DQL or SPL like anything else. Which means it's queryable by the platform's MCP server, like anything else.
The implication is straightforward but worth saying out loud: the moment SAP telemetry sits inside Dynatrace or Splunk, every MCP-driven workflow on top of those platforms automatically inherits SAP coverage. No new integration. No new agent. No new model context.
Now when the SRE asks, "Why did order processing slow down at 14:00?" — the LLM doesn't just see Kubernetes pods and JVMs. It sees the SAP work processes pinned at maximum utilization, the IDoc backlog spiking on a specific partner connection, the ABAP short dump in a batch job that handles order release, and the business KPI — sales orders processed per minute — sitting alongside them in the same query plane.
Root cause analysis stops at the actual root cause.
Why this is the moment to care
Earlier this year, RHONDOS — the global software company behind PowerConnect for SAP - assumed full global operations of the PowerConnect business from SoftwareOne. As the most experienced global PowerConnect partner for nearly a decade, RHONDOS is now the long-term steward of the product, and the team has been explicit about where the investment is going: making SAP data ready for the next wave of AI, with a focus on precision, auditability, and scale.
That's not a coincidence. As the broader industry has moved past "can the LLM produce a coherent answer" and into "can the agent take a reliable action," the limiting factor has stopped being compute and started being data. Trusted, time-stamped, enterprise-grade data — the kind that auditors will accept and that an autonomous workflow won't hallucinate around — is the gating constraint on agentic operations.
In parallel, RHONDOS picked up first-to-market S/4HANA 2025 certification and continues to extend a portfolio that already covers more than two dozen SAP certifications. That breadth matters here. The more granular the SAP data model PowerConnect can govern, the more an MCP-driven agent can actually reason about — work process behavior, IDoc states, ABAP dump categories, batch job dependencies, security events, business object lifecycle — rather than just CPU and memory on the SAP host.
What this unlocks in practice
Once PowerConnect is in place and SAP telemetry is flowing into your MCP-native platform, a few things change in the day-to-day:
AI-ready SAP observability on the platform you already chose. No second pane of glass for SAP. The agent your engineers already talk to handles SAP questions natively.
Faster MTTR because the agent never hits an SAP blind spot. Incident investigations that previously had to bounce between the observability team and the Basis team in a Slack war room collapse into a single conversation the agent can drive end to end.
A lower expertise barrier. A junior engineer asking "show me the failing IDocs to this partner in the last hour and correlate with batch job run times" gets senior-level reasoning across SAP and infrastructure, because the LLM is doing the synthesis the senior would have done manually.
One conversational surface across IT and business signals. Sales orders processed, payment runs completed, deliveries posted — these aren't separate dashboards anymore. They're entities the agent can reach for in the same breath as it queries pod restarts.
The takeaway
The platforms made themselves agent-ready. That part is done.
The question now is whether the systems that actually run the business are in the conversation, or whether your agent is reasoning with a hole where SAP should be. PowerConnect is how SAP gets into the conversation — as governed, time-stamped, MCP-addressable data, on the platform you've already standardized on.
Customers don't want more complexity. They want certainty that the agent they're trusting with production has the full picture. That's what we're building toward.
If any of this sounds like the environment you’re working in, PowerConnect may have the data you need to change your baseline reality - Request a Demo Here.