#Multi Agent MCP Servers

Orchestrate multi-agent workflows via CrewAI. List crews and agents, kickoff autonomous runs, and monitor task execution directly from any AI agent.

A test fails. Is the assertion wrong or is the code broken? Most agents guess, retry blindly, and deadlock the pipeline. QA Arbiter resolves this in one call. Structured fault diagnosis with two boolean pivots that yield a deterministic verdict: TEST_ERROR, ENGINE_DEFECT, or BOTH_WRONG.

Catch broken formulas before they reach your codebase. Spec Prover forces AI agents to prove every specification works with real inputs. One trace exposes bugs that abstract review never finds.

Orchestrate multi-agent AI workflows visually. Execute flows, manage projects, and trigger webhooks directly from any AI agent.

An AI designed a multi-agent system where agents 'work together seamlessly,' data 'flows naturally between them,' and failures 'self-heal.' Three days later, Agent B crashed and the pipeline froze for 14 hours. No one knew because there was no tracing. That is not orchestration. That is hope with a tech stack. This tool forces five orchestration axes: role boundaries, handoff protocols, failure containment, consensus mechanisms, and distributed tracing.