claude-flow
Verified · 10 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
claude mcp add --transport http evals https://completionkit.com/mcp
Runs prompt evaluations over MCP by applying a prompt to a dataset and scoring outputs with an LLM judge. It is aimed at prompt engineers, evaluation workflows, and teams iterating on AI quality without building their own eval harness. The use case is practical, but the project appears early and users should treat automated judging as useful signal rather than ground 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)