claude-flow
Verified · 16 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Independent effect verification and signed receipts for consequential AI agent actions.
claude mcp add --transport http tookeffect https://tookeffect.com/mcp
Focuses on independent verification that an AI agent action actually happened, with signed receipts for consequential operations. It is for higher-trust or compliance-conscious environments where action logging and proof of effect matter more than convenience. The idea is serious and differentiated, but as a remote-only service with sparse metadata, it deserves closer scrutiny around implementation details, trust model, and operational maturity.
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