claude-flow
Verified · 15 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
claude mcp add --transport http llm-latency-tracker https://llmlatency.dev/mcp
A narrow observability server that exposes measured latency and uptime for AI inference APIs by region. It is best suited to teams choosing providers, routing traffic, or monitoring model-serving performance from an agent. The use case is straightforward, but the value depends heavily on how current and representative the measurements are, so it should be treated as a helpful signal rather than a sole source of truth.
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)