plixer-scrutinizer
Plixer ships a native Model Context Protocol (MCP) server as part of Plixer Scrutinizer / Plixer One, released in Plixer 19.8 and available to all Scrutinizer and Plixer One customers at no additional charge. Any MCP-compatible AI tool (Claude, ChatGPT, or an agentic SOC/NOC platform) can point directly at Plixer's investigative engine. All operations run under the team's existing Plixer permissions and are governed: authenticated, logged, rate-limited, and scoped to data the user is already authorized to see. The server ships on the Scrutinizer appliance/instance; transport and connection URL are configured per deployment and were not published verbatim.
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Documentation
Documentation link · transport unspecified
Tools
run_flow_reports— Run network flow reports against Scrutinizer's flow data.resolve_names— Resolve plain-language names to the network interfaces behind them.pivot_top_talkers— Pivot an investigation to the top talkers on the network.browse_alarms— Browse alarms raised by Scrutinizer.acknowledge_alarms— Acknowledge alarms.tune_detections— Tune threat/anomaly detections.trigger_packet_capture— Trigger targeted packet captures.open_collections— Open Collections (grouped investigative context) in Scrutinizer.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.