agent fleet spins up 322 single-purpose ai agents that hit your mcp server with realistic and adversarial traffic — then scores every response, ranks the failures by severity, and files a ticket for each real bug.
one commander orchestrates a living network of single-purpose testers — signals flowing left to right as every agent probes, reports, and converges on the verdict.
point the fleet at any mcp server. it reads the live tool manifest, manufactures a small army of specialised testers, runs them all at once, and hands you a ranked bug report — no test scripts to write.
expands 12 squad templates against your live tool manifest into 305 unique worker specs. every system prompt is generated from a template — none is hand-written.
runs all 305 workers concurrently against your server, each a five-turn tool-calling loop, capturing the full transcript and a pass / fail / error verdict.
re-reviews every failure and a sample of passes, assigns a severity, aggregates a scorecard, and files a github ticket for anything critical or high.
each squad simulates a different kind of user — from the honest shopper to the adversary probing for a way in.
happy-path, doc-accuracy and regression checks — does each tool do what it says?
prompt-injection, permission-boundary and data-leakage probes hunting for a breach.
race conditions and 15 chained multi-tool workflows that stress real state.
boundary, fuzzing, localization and 20 lifelike personas hammering the edges.
launch the fleet and every agent lights up as it works — queued, running, passed, failed — with the scorecard and findings building in real time.