Inspiration
As a developer, I spend a lot of time debugging production logs. It's slow and stressful. I wanted to build something that makes this faster.
What it does
You paste a log or stacktrace, LogWise analyzes it using Splunk MCP and AI, and gives you root cause, similar past incidents, incident timeline, resolution time prediction, action plan, and a PDF report.
How we built it
React + Spring Boot backend + Groq AI + Splunk MCP Server. Splunk is used to store and query incident history in real time via JSON-RPC.
Challenges we ran into
The biggest challenge was connecting to Splunk MCP — port 8089 is blocked on Splunk Cloud Trial. I found an alternative endpoint on port 443 that made it work. Also had SSL issues with Java that I fixed with a custom WebClient configuration.
Accomplishments that we're proud of
Successfully connected to the real Splunk MCP Server via JSON-RPC and used it for 3 distinct operations. Built 11 working features in under 2 weeks.
What we learned
How to build an agentic workflow combining Splunk observability with AI. And how to overcome Splunk Cloud Trial limitations to make a real MCP integration work.
What's next for LogWise
Auto-connect to live log streams, Slack/Teams alerts for critical incidents, and a team dashboard to track recurring errors across the organization.
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