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Improvado MCP extracts data from Splunk and makes it queryable by any AI agent. Ask about log patterns, alert trends, and search performance without writing a single query.
Improvado MCP connects your Splunk data to AI, so teams can query log volumes, alert history, search queries, and dashboard usage in plain English — no SPL, 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 alerts, modify searches, and adjust dashboard configurations directly from your AI agent — without switching context or opening Splunk manually.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Monitor log volume spikes, alert failures, search performance degradation, and dashboard usage 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 alerts, modify searches, and adjust dashboard configurations directly from your AI agent — without switching context or opening Splunk 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 SPL queries to extract basic insights about log patterns and alert performance.
Improvado MCP extracts Splunk data and makes it instantly queryable via AI — no manual queries needed.
Auditing alert effectiveness, unused searches, and dashboard adoption requires navigating multiple screens and manual tracking.
AI agents query Splunk configuration state directly and surface inefficiencies in seconds.
Unusual log volume, alert failures, or search performance issues go unnoticed until they impact operations.
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.
Splunk MCP is an integration that connects Splunk data to AI agents via the Improvado MCP server. It allows teams to query log volumes, alerts, searches, and dashboard usage using plain-language prompts.
Improvado extracts log ingestion metrics, search query history, alert configurations and triggers, dashboard usage stats, and index performance data from Splunk, making all of it queryable through connected AI agents.
No. Once Improvado MCP is configured, you interact with your Splunk data through plain-language prompts in your AI agent — no SPL or scripting required.
Yes. You can set up AI-driven monitoring that tracks log volume trends, alert performance, search failures, and dashboard usage — surfacing anomalies without manual review.
The Splunk UI requires SPL knowledge and manual navigation. 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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