Pinta AI is a security and efficiency platform for AI agents and Model Context Protocol (MCP) workflows. It observes prompts, model choices, tool calls, and outcomes, turning agent sessions into evidence that teams can use to assess safety, investigate activity, and measure results. Rather than relying only on logs or routed traffic, Pinta evaluates actions as they happen, including shell commands, file edits, MCP calls, database operations, and other tool requests.

Its security features identify risks such as credential exposure, destructive actions, and policy violations, and can block risky actions before they run. For efficiency, Pinta Score helps teams distinguish productive sessions from repetitive work and spot model choices or usage patterns that may waste budget. Investigation tools provide timelines and attribution, connecting users and agents to actions, tools, systems, and decisions.

Pinta is designed to work with agent workflows including Claude Code, Codex, Cursor, and Gemini, without requiring a single vendor. The platform brings execution visibility, control, auditability, and efficiency measurement together