Orca Security

The Orca MCP Server extends Orca's reasoning into Claude, so your team can ask security questions from where the work already happens: Claude.ai in the browser, the Claude desktop app, and Claude Code in the terminal. The MCP Server carries correlated context from Orca's Unified Data Model, not raw data streams. Every asset, alert, identity, and dependency is already stitched together before Claude is asked a question, so answers factor in reachability, blast radius, and business impact from the first response. Tools that stitch sources together at query time return inconsistent, fragmented conclusions. Ask Claude to run in-depth analysis on an alert, query assets, investigate the code origins of a runtime risk, generate an executive readout, or kick off a remediation workflow. All of it happens without leaving Claude. Every response pulls asset, attack path, ownership, and remediation context in a single call, so end users get senior-analyst judgment baked into every answer. For teams that want the reasoning without writing the prompts, Orca maintains the AI Skills Hub, an open-source GitHub repo of agent skills that sits on top of the MCP Server. Analysts type "triage alert orca-9012345" in Claude, and the orca-alert-triage skill handles retrieval, analysis, and formatting. Teams can fork it, modify it, and extend it to their own use cases. The result: security and engineering teams work across cloud, code, and AI from a single workspace, with Claude as the interface and Orca's reasoning behind every answer.