data-ai MCP Server
Multi-agent orchestration plugin for Claude Code — 10 specialized agents, persistent Brain memory, quality gates, continuous QA, wave-based parallel execution, and mechanical enforcement hooks
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
When
Create typed edges between thoughts (supersedes, contradicts, evolves_from)
Trigger
Infrastructure and deployment
Brain health check (thought count, config, status)
Dependency scanning and CVE checking
Purpose
Pipeline health analysis and improvement proposals
Agent
Purpose
Role
Documentation planning and writing
Walk relation chains from a thought
UI/UX design and interaction patterns
Semantic search across brain thoughts
Architecture clarification and ADR production
Paginated browse by type or status
Feature discovery and product spec
Save a decision, lesson, preference, or correction
**Skills** run in the main conversation thread (Claude Code or Cursor) for conversational work. **Subagents** run in their own context windows for focused execution. Some agents have both modes -- conversational for authoring, subagent for verification. Custom agents can be added via [agent discovery](#agent-discovery) without modifying core pipeline files. > **Note:** On Cursor, subagents run as skills in the main thread since Cursor does not support Agent spawning. All agents are available on both platforms. ### Agent Teams (Experimental, Claude Code only) Agent Teams enables parallel wave execution during the Colby build phase. When multiple ADR steps are independent (no shared files), Eva normally executes them sequentially. With Agent Teams enabled, Eva creates Colby Teammate instances that execute those steps simultaneously. **Two gates must pass:**
Architecture clarification and ADR production