MCP server for autonomous MLOps incident response, enabling drift detection, deployment history analysis, and human-approved rollback execution via gated tools.
MCP server that diagnoses RAG pipeline regression by detecting which failure modes (e.g., retrieval miss, hallucination) significantly regressed, not just score drops, using statistical methods to avoid false alarms.
A multi-agent MCP server that turns LLMs into an autonomous incident-response copilot, enabling rapid investigation, correlation, and remediation of production incidents.
An MCP server that helps engineers investigate service incidents using semantic log search, error aggregation, RAG-based diagnosis, and runbook recommendations.
MCP server that enables agents to manage DataHub incidents, recall past incident memory, guard columns against regression, and write postmortems into the data graph.
MCP server for achieving peak inference performance by detecting drift between code and runtime behavior, comparing against benchmarks, and providing optimization templates.