Metric Hive MCP

Bring Metric Hive Intelligence into every AI agent.

Metric Hive MCP connects compatible AI clients to Marketing Intelligence, Commerce Intelligence, Data Health, semantic analysis, and review-ready workflows. Keep account scope, metric grain, date logic, currency, lineage, readiness, and caveats attached to every result.

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1

Connect the AI tool you use

Add https://mcp.metrichive.ai/mcp to a compatible client such as ChatGPT, Claude, Cursor, or your own agent, then approve scoped access.

2

Ask with business context

Analyze performance, explain metrics, compare periods, inspect profitability, triage Data Health, and prepare structured drafts through governed tools.

3

Keep the answer defensible

Metric definitions, source coverage, readiness, lineage, date windows, currency behavior, and account permissions stay part of the workflow.

One connection, multiple governed workflows

The hosted server exposes the Metric Hive capabilities that are safe and useful for agents without turning a model into an unbounded administrator.

Marketing performanceCompare governed periods, explain metrics, find drivers, review opportunities and rankings, and prepare decision packs or budget reallocation plans.
Commerce intelligenceInspect profit waterfalls, margin leaks, stockout risks, product profitability, traffic losing money, and commerce readiness.
Data HealthTriage issues, inspect freshness and coverage, review source health details, and bring trust evidence into the same conversation as the metric.
Semantic analysisDiscover approved fields, run guarded semantic queries, compare periods, inspect readiness, and preserve explicit grain and compatible currency scope.
Reviewable draftsPrepare dashboard, export, product feed, and creative context or simulate retail media policy without silently publishing or activating changes.
Source visibilityInspect connectors, existing non-secret credential metadata, sources, and ingestion status without creating credentials or starting ingestion.