An AI agent that load-tests a code change, finds the regression in Splunk, and writes the fix. A model-agnostic, audited state machine over MCP, orchestrating the Grafana k6 and official Splunk MCP servers; any tool-calling model drives it, down to a local 8B. The agent publishes its own walk back to Splunk.
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Kassi is an MCP server that an AI agent that load-tests a code change, finds the regression in Splunk, and writes the fix. A model-agnostic, audited state machine over MCP, orchestrating the Grafana k6 and official Splunk MCP servers; any tool-calling model drives it, down to a local 8B. The agent publishes its own walk back to Splunk. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 35/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"kassi": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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kassi is an AI agent that load-tests a code change, finds the regression in live Splunk, and writes the fix, before it reaches production. Point it at a git diff or a plain-language intent. It drives real k6 load against the affected endpoints, correlates the result with server-side telemetry from the official Splunk MCP Server, names the root cause, and hands back a validated remediation diff. For engineering and SRE teams who need to catch load-induced
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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