claude-flow
Verified · 12 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
AI agent observability for production traces, natural-language insights, and improvement loops.
claude mcp add --transport http context-company https://api.thecontext.company/mcp
Focuses on agent observability, turning production traces into natural-language analysis and feedback loops for improving AI systems. It is for teams already running agents in production who need monitoring and operational insight more than end-user features. The problem area is legitimate and the positioning is coherent, but as a remote-only service with limited public package signals, it deserves normal vendor diligence around reliability and data handling.
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.
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AI Agents Framework with Self Reflection and MCP support