Intended audience: USERS DEVELOPERS administrators
AO Platform: 5.0
Overview
AO MCP Server for Claude: Turning Enterprise Data into Conversational Insight
The AO MCP Server connects Claude directly to App Orchid's semantic ontology layer, giving business users natural-language access to complex enterprise data — no SQL, no BI tooling, no waiting on a data team.
What it does for the business:
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Ask questions in plain English, get governed answers. Users can ask things like "show me meter counts by material and age" and get accurate results, because Claude translates the request into semantic SQL against a curated ontology — not a raw, ungoverned database guess.
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One consistent source of truth. The ontology layer enforces business definitions (what a "meter," an "asset," or a "customer" actually means) so different teams don't get different answers to the same question.
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Faster decisions, less analyst bottleneck. Operations, asset management, and finance teams can self-serve reporting and trend analysis — pulling utility/asset data, KPIs, and breakdowns on demand instead of filing a request and waiting.
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Visual, presentation-ready output. Query results render as charts and dashboards (via Chart.js) directly in the conversation, so insights are immediately shareable in reviews or reports rather than needing separate visualization work.
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Built for trust and control. The integration includes authentication and permission validation and has been put through structured QA (12 MCP tools, dozens of test scenarios covering error handling and access control), so it's suitable for rollout beyond a single team.
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Extensible foundation. Because it's built on MCP (Model Context Protocol), the same pattern — Claude plus a governed semantic layer — can extend to other ontologies and data domains as the business grows, without re-architecting the integration each time.
In short: it turns the AO Platform's ontology and data investment into something non-technical stakeholders can actually query and act on, through a conversational interface, while keeping the guardrails (governance, permissions, QA) that IT and data teams need.
MCP Server Details
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