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Improvado MCP extracts data from Prometheus and makes it queryable by any AI agent. Ask about service health, alert patterns, and metric trends without opening a single dashboard.
Improvado MCP connects your Prometheus data to AI, so teams can query time-series metrics, alert history, and target health in plain English — no PromQL, no manual exports.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Update alert rules, modify recording rules, and configure targets directly from your AI agent — without switching context or writing PromQL manually.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Monitor metric spikes, target health changes, and alert pattern shifts automatically — your AI agent surfaces what matters before it becomes a problem.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Update alert rules, modify recording rules, and configure targets directly from your AI agent — without switching context or writing PromQL manually.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Teams spend hours writing and debugging PromQL queries to extract insights from time-series data and understand system behavior.
Improvado MCP extracts Prometheus data and makes it instantly queryable via AI — no PromQL expertise needed.
Investigating alert patterns, correlating incidents, and analyzing historical alert data requires navigating multiple dashboards and manual analysis.
AI agents query alert history and metric correlations directly, surfacing root causes and patterns in seconds.
Unusual metric patterns, target failures, and performance degradation go unnoticed until they trigger alerts or impact users.
Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Prometheus MCP is an integration that connects Prometheus monitoring data to AI agents via the Improvado MCP server. It allows teams to query metrics, alerts, and target health using plain-language prompts.
Improvado extracts time-series metrics, alert history, target health status, recording rules, and scrape configuration from Prometheus, making all of it queryable through connected AI agents.
No. Once Improvado MCP is configured, you interact with your Prometheus data through plain-language prompts in your AI agent — no PromQL or scripting required.
Yes. You can set up AI-driven monitoring that tracks metric trends, alert patterns, and target health — surfacing anomalies without manual dashboard reviews.
Dashboards require manual navigation and pre-built queries. Improvado MCP makes the same data available to AI agents that can query, correlate, and act on it alongside data from other tools.
Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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