Categories › AI & Agents › Multi-agent, orchestration & workflows
Public behavioral test environment for AI agents with stateful rides and signed scorecards.
Remote server: your requests and data go to a2apark.com. Claude Code: claude mcp add --transport http a2apark https://a2apark.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
list_rides — Discover public behavioral test tracks and their missions.start_ride — Start one public simulated run for this agent to take. Returns its first observation and allowed actions. No target URL or real-world systemact_in_ride — Submit one strictly validated action for the run identified by runId. Use a payload variant allowed by the latest observation. Structural erget_scorecard — Retrieve the signed scorecard for a completed MCP run by runId. It reports this one simulated run and is not a safety certification.Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.