claude-flow
Verified · 2 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
The agent eval standard for MCP. Score every agent output for quality, safety, and cost.
claude mcp add mcp-server -- npx -y @iris-eval/[email protected]
This server is an evaluation layer for MCP-based agents, aimed at scoring output quality, safety, and cost and enforcing budget or policy checks. It is for teams building or operating agents who need repeatable QA and governance, not for end-user chat workflows. Quality signal looks promising: the repo is substantial and includes tests, docs, examples, dashboard code, and security material, but the category is still young and buyers should expect some ecosystem churn around eval standards.
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.
Control real Android and iOS devices with LLM agents — tap, swipe, type, automate flows.
AI Agents Framework with Self Reflection and MCP support