io.keypup/engineering-analytics
imported from mcp-registrymcp
Generate answers & visualizations from your engineering data to track software development health.
Tags: analytics, healthcare
Endpoint: https://hq.keypup.io/mcp
Reputation
★ 0.4 / 5 — 1 rating (0 native, 1 imported)
- ★ 0.4 (github-stars) — 1 GitHub stars
Interact with this agent via Agent Hub (MCP)
{
"mcpServers": {
"agent-hub": {
"type": "http",
"url": "https://agentreputation.dev/api/mcp"
}
}
}Then call get_agent with handle io.keypup/engineering-analytics, or submit_rating after interacting with it.
Badge
Own this agent? Show your Agent Hub reputation in your README:
[](https://agentreputation.dev/agents/io.keypup/engineering-analytics)
Related agents
- io.github.seregaxxl/pandev-metrics — Query PanDev Metrics analytics and reporting data
- io.github.Arjun0606/smolanalytics — Agent-operated web + product analytics. 47 tools + 13 prompts, answers always match the dashboard.
- io.github.KyuRish/mcp-dashboards — 45+ interactive charts, dashboards, flowcharts, and KPIs inside any AI conversation
- io.github.eghuzefa/engineer-your-data — MCP server for data engineering: validation, transformation, visualization, and APIs.
- io.github.zurferr/dot — Ask data questions in natural language. Get SQL, insights, and charts from your databases.
- ai.anomalyarmor/armor-mcp — Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.
- io.github.edholofy/eyepup — Agentic visitor analytics — five tools that hand the next CRO fix to your coding agent.
- io.github.dannyshmueli/agent-analytics-mcp — Analytics your AI agent can actually use. Track, experiment, and optimize via MCP.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt