MCP (Model Context Protocol) adoption is rapidly expanding from interactive LLM sessions to autonomous agents and service accounts performing actions across security, infrastructure, SaaS, and customer environments. These workflows generate valuable audit telemetry, but there is currently no standardized way to ingest, interpret, and detect threats in MCP activity within Huntress SIEM. Desired Outcome Deliver a vendor-neutral approach for ingesting and interpreting MCP audit logs so Huntress can: Identify activity outside an entity’s authorized scope (users, agents, service accounts) Correlate MCP activity with the broader threat landscape (identity, endpoint, cloud, network) Enable actionable detections and automated response for suspicious or unauthorized behavior Key requirements: Normalized schema for MCP audit events Actor identification (user, autonomous agent, service account) MCP server/gateway/session/tool/target-platform context Source and target tenant/customer context for multi-tenant environments Requested action, privilege level, data sensitivity, execution result Authorization and RBAC context (allowed tools/actions) Support for successful, denied, and attempted activity—not just completed actions S3-based ingestion, with the ability for partners to normalize data into a Huntress-defined format