claude-flow
Verified · 13 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Evidence-backed architecture-quality analysis for Python agent applications.
claude mcp add --transport http uptocode https://uptocode-mcp-1015314816960.us-central1.run.app/mcp
A local MCP server for architecture and code-quality analysis of Python agent applications, aimed at developers who want design feedback beyond linting or tests. The concept is clear, but with zero stars and little visible ecosystem footprint, this reads as an early-stage or highly niche tool rather than a proven dependency.
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)