claude-flow
Verified · 14 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
AI agents read TraceBug bug reports (console, network, replay, repro timeline) from local disk.
claude mcp add tracebug -- npx -y [email protected]
This server exposes TraceBug artifacts from local disk so agents can inspect bug reports, including console data, network activity, replay information, and reproduction timelines. It is aimed at teams already using TraceBug who want AI help during debugging triage. The integration is narrow and adoption looks limited, but the scope is clear and there are no obvious bad-faith signals.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Draw and visually collaborate with your agents on tldraw's canvas.
Codebase knowledge graph for AI agents — 159 languages, sub-ms queries, 99% fewer tokens.
Official OpenMetadata MCP: governed context and business semantics for AI assistants and agents.
AI Agents Framework with Self Reflection and MCP support
MCP server for progressive tool usage at any scale (see https://klavis.ai)