Product
Introducing the AMMP MCP server
Connect any MCP-compatible AI assistant to your portfolio's assets, KPIs, alerts and raw time-series.
10 June 2025 · 5 min read
We're opening up the beta of the AMMP MCP server. It's a new way to put your renewable energy portfolio data directly in front of an AI assistant. Connect any MCP-compatible client (Claude, Cursor, or your own agent) to AMMP and ask the kind of questions you'd normally answer by opening five dashboards and exporting a CSV.
The server exposes the same view our platform has, including assets, KPIs, alerts and raw time-series, as a set of tools the model can call on its own. No copy-paste, no exports, no jumping between tabs.
Dashboards on demand
One prompt, two outputs. We asked Claude for a 28-day overview of a 27-asset portfolio. It returned a dashboard with the 2.96 GWh portfolio total, a daily production curve and the top producers ranked. While building it, the model also flagged a bug in the KPI pipeline it was being asked to visualise. A May 9th "spike" wasn't real: integrated 15-minute telemetry came to 3.20 MWh, but the daily aggregate read 44.9 MWh. A 14x discrepancy, caught by cross-checking the sources we'd asked it to chart.
Dashboards on demand are useful. Dashboards that audit your data while they build them are the real upgrade.
KPIs that tell you why, not just what
Second prompt: "Give me an overview of the performance ratio of all my assets last quarter." We expected a chart. We got a chart, plus a root-cause analysis tracing three of the lowest-PR sites back to the same fleet-wide No Communication event at roughly 10:40 UTC on 25 May. Not three independent generation problems, but one likely shared gateway. Three site visits that no longer need to be scheduled.
Because the model can pull exactly what it needs to answer the question, rather than working from whatever was pre-loaded into a prompt, the answers shift from descriptive to diagnostic.
How it works
The AMMP MCP server speaks the open Model Context Protocol, so it plugs into any MCP-compatible AI assistant. It exposes:
- Your asset portfolio and metadata
- Computed KPIs (production, performance ratio, availability, and more)
- Active and historical alerts
- Raw time-series telemetry at native resolution
The model decides which tools to call, runs the queries, and answers in natural language. Permissions and scope follow your existing AMMP access controls.
Join the beta
The AMMP MCP server is currently in development and we're onboarding a small group of Asset Managers and O&M Providers to the beta. If you'd like early access, or just want to see the demos live against your own portfolio, get in touch.
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